Data as of October 17, 2026 · How the score is built
Released Feb 16, 2026128K context
Qwen3.5 397B
Decision readingQwen3.5 397B scores 55.3 out of 100 and ranks #65 of 224. This profile shows 62 source-displayable benchmark rows; its strongest eligible category is Multilingual at #5. API pricing is $0.6 input and $3.6 output per million tokens.
Released Feb 16, 2026 — see all recent releases
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
55.3/100
field median 49.6#65 of 224 ranked models
Public
#65of 224
Verified —
Price
$0.60input / $3.60 output
input median $0.75blended $2.10
Speed
56tok/s
field median 92 tok/sFirst token 59.48 s
Context
128Ktokens
field median 256,000Reported for this model; direct source link not stored
Strongest published evidence
Multilingual ranks #5. A well-rounded choice across a range of tasks.
Validate before choosing
62 published rows leave some tracked benchmark slots empty. Knowledge is its lowest eligible category at #68.
Source-linked · 62 displayable benchmark rows
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #61 of 128Percentile 53rdWeight 22%14 benchmarksVerified | 43.8 | 14 benchmarks | Verified | |||
| CodingRank Not rankedWeight 20%6 benchmarksVerified | 41.7 | 6 benchmarks | Verified | |||
| ReasoningRank Not rankedWeight 17%2 benchmarksVerified | 74.9 | 2 benchmarks | Verified | |||
| MultimodalRank #29 of 54Percentile 47thWeight 12%22 benchmarksVerified | 73.6 | 22 benchmarks | Verified | |||
| KnowledgeRank #68 of 184Percentile 63rdWeight 12%6 benchmarksVerified | 53.1 | 6 benchmarks | Verified | |||
| MultilingualRank #5 of 17Percentile 75thWeight 7%5 benchmarksVerified | 93.8 | 5 benchmarks | Verified | |||
| Inst. FollowingRank #59 of 148Percentile 61stWeight 5%2 benchmarksVerified | 79.9 | 2 benchmarks | Verified | |||
| MathRank Not rankedWeight 5%5 benchmarksVerified | 81.7 | 5 benchmarks | Verified |
62 of 681 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic14/14 verified
- Coding6/6 verified
- Reasoning2/2 verified
- Multimodal22/22 verified
- Knowledge6/6 verified
- Multilingual5/5 verified
- Inst. Following2/2 verified
- Math5/5 verified
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Qwen3.5 397B category percentile values
- Agentic53rd percentile
- CodingNot eligible
- ReasoningNot eligible
- Multimodal47th percentile
- Knowledge63rd percentile
- Multilingual75th percentile
- Instruction following61st percentile
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#61/128
- CodingNot ranked
- ReasoningNot ranked
- Multimodal#29/54
- Knowledge#68/184
- Multilingual#5/17
- Inst. Following#59/148
- MathNot ranked
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score50.9% | Versus best verified row Best verified: Claude Opus 5.5 · 89.9% | Gap39 behind | Weight26% ref. weight | Provider exact |
| SWE Multilingual | Score69.3% | Versus best verified row Best verified: Claude Opus 5.5 · 93.9% | Gap24.6 behind | Weight5% ref. weight | Provider exact |
| Terminal-Bench 2.0 | Score52.5% | Versus best verified row Best verified: GPT-5.5 · 82.0% | Gap29.5 behind | WeightScored in Agentic | Provider exact |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score76.2% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap19.8 behind | WeightDisplay only | Provider exact |
| LiveCodeBench v6 | Score83.6% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.2% | Gap9.6 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score32.2% | Versus best verified row Best verified: DeepSeek V4.1 Flash 1017 · 68.2% | Gap36 behind | WeightDisplay only | Provider exact |
Agentic14 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| BrowseComp | Score69% | Versus best verified row Best verified: Atria Dawn Preview · 92.5% | Gap23.5 behind | Weight8% ref. weight | Provider exact |
| Terminal-Bench 2.0 | Score52.5% | Versus best verified row Best verified: GPT-5.5 · 82% | Gap29.5 behind | Weight7% ref. weight | Provider exact |
| OSWorld-Verified | Score62.2% | Versus best verified row Best verified: Qwen3.8 Max · 86.1% | Gap23.9 behind | Weight7% ref. weight | Provider exact |
| MCP Atlas | Score46.1% | Versus best verified row Best verified: Muse Spark Open · 89.2% | Gap43.1 behind | Weight4% ref. weight | Provider exact |
| Toolathlon | Score36.3% | Versus best verified row Best verified: Muse Spark 1.1 · 75.6% | Gap39.3 behind | Weight3% ref. weight | Provider exact |
| τ³-bench resultsτ³-Bench Tool-Agent-User Evaluation | Score68.4% | Versus best verified row Best verified: Mercury 2.5 · 96.0% | Gap27.6 behind | Weight2% ref. weight | Provider exact |
| Claw-Eval | Score56.8% | Versus best verified row Best verified: Ornith-1.5-397B · 81.4% | Gap24.6 behind | WeightDisplay only | Benchmark exact |
| QwenClawBench | Score51.8% | Versus best verified row Best verified: Qwen3.7 Max · 64.3% | Gap12.5 behind | WeightDisplay only | Provider exact |
| VITA-Bench | Score43.7% | Versus best verified row Best verified: Qwen3.7 Max · 47.9% | Gap4.2 behind | WeightDisplay only | Provider exact |
| DeepPlanning | Score37.6% | Versus best verified row Best verified: Qwen3.7 Plus · 62.3% | Gap24.7 behind | WeightDisplay only | Provider exact |
| MCP-Tasks | Score74.2% | Versus best verified row Best verified: Qwen3.5 397B · 74.2% | GapBest verified | WeightDisplay only | Provider exact |
| WideResearch | Score74.0% | Versus best verified row Best verified: Hy4 preview · 83.9% | Gap9.9 behind | WeightDisplay only | Provider exact |
| Gert LabsGert Labs Composite Game Benchmark | Score46.76% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap26.2 behind | WeightDisplay only | Benchmark exact |
| ResearchClawBench | Score14.2% | Versus best verified row Best verified: Claude Opus 4.8 · 21.1% | Gap6.9 behind | WeightDisplay only | Benchmark exact |
Reasoning2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| LongBench v2 | Score63.2% | Versus best verified row Best verified: Beam 1.0 501B-A23B FP8 · 67.6% | Gap4.4 behind | WeightWeighted 25% | Provider exact |
| AI-Needle | Score68.7% | Versus best verified row Best verified: Qwen3.5 397B · 68.7% | GapBest verified | WeightDisplay only | Provider exact |
Multimodal22 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score79% | Versus best verified row Best verified: Gemini 3.5 Flash · 83.6% | Gap4.6 behind | WeightWeighted 40% | Provider exact |
| CharXivCharXiv Reasoning | Score80.8% | Versus best verified row Best verified: Qwen3.8 Max · 93.5% | Gap12.7 behind | WeightWeighted 20% | Provider exact |
| MMMUMassive Multi-discipline Multimodal Understanding | Score85.0% | Versus best verified row Best verified: Qwen3.5 397B · 85.0% | GapBest verified | WeightDisplay only | Provider exact |
| RealWorldQA | Score83.9% | Versus best verified row Best verified: Qwen3.8-Flash-Next · 88.5% | Gap4.6 behind | WeightDisplay only | Provider exact |
| OmniDocBench 1.5 | Score90.8% | Versus best verified row Best verified: Qwen3.8 Max · 92.1% | Gap1.3 behind | WeightDisplay only | Provider exact |
| Video-MME (with subtitle)Video-MME with subtitle | Score87.5% | Versus best verified row Best verified: Qwen3.8 Max · 90.4% | Gap2.9 behind | WeightDisplay only | Provider exact |
| Video-MME (w/o subtitle)Video-MME without subtitle | Score83.7% | Versus best verified row Best verified: Qwen3.5 397B · 83.7% | GapBest verified | WeightDisplay only | Provider exact |
| MathVision | Score88.6% | Versus best verified row Best verified: Qwen3.8 Max · 95.2% | Gap6.6 behind | WeightDisplay only | Provider exact |
| We-Math | Score87.9% | Versus best verified row Best verified: Qwen3.5 397B · 87.9% | GapBest verified | WeightDisplay only | Provider exact |
| DynaMath | Score86.3% | Versus best verified row Best verified: Qwen3.5 397B · 86.3% | GapBest verified | WeightDisplay only | Provider exact |
| SimpleVQA | Score67.1% | Versus best verified row Best verified: Qwen3.7 Plus · 81.7% | Gap14.6 behind | WeightDisplay only | Provider exact |
| MMLongBench-Doc | Score61.5% | Versus best verified row Best verified: Nemotron 3.5 Super VL 120B A12B · 62.8% | Gap1.3 behind | WeightDisplay only | Provider exact |
| CC-OCR | Score82.0% | Versus best verified row Best verified: Qwen3.5 397B · 82.0% | GapBest verified | WeightDisplay only | Provider exact |
| AI2D_TESTAI2D test split | Score93.9% | Versus best verified row Best verified: Qwen3.5 397B · 93.9% | GapBest verified | WeightDisplay only | Provider exact |
| CountBench | Score97.2% | Versus best verified row Best verified: Qwen3.6-27B · 97.8% | Gap0.6 behind | WeightDisplay only | Provider exact |
| RefCOCO (avg)RefCOCO average | Score92.3% | Versus best verified row Best verified: Qwen3.6-27B · 92.5% | Gap0.2 behind | WeightDisplay only | Provider exact |
| ODINW13 | Score47.0% | Versus best verified row Best verified: Qwen3.7 Plus · 51.1% | Gap4.1 behind | WeightDisplay only | Provider exact |
| ERQA | Score67.5% | Versus best verified row Best verified: Qwen3.8 Max · 77.8% | Gap10.3 behind | WeightDisplay only | Provider exact |
| VideoMMMU | Score84.7% | Versus best verified row Best verified: Qwen3.8 Max · 88.7% | Gap4 behind | WeightDisplay only | Provider exact |
| MLVU (M-Avg)MLVU mean average | Score86.7% | Versus best verified row Best verified: Qwen3.8 Max · 90.8% | Gap4.1 behind | WeightDisplay only | Provider exact |
| ScreenSpot Pro | Score65.6% | Versus best verified row Best verified: GPT-6 Astra · 92.7% | Gap27.1 behind | WeightDisplay only | Provider exact |
| V* | Score95.8% | Versus best verified row Best verified: Qwen3.6 Plus · 96.9% | Gap1.1 behind | WeightDisplay only | Provider exact |
Knowledge6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score28.7% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap36.3 behind | Weight44% ref. weight | Provider exact |
| MMLU-ProMassive Multitask Language Understanding Professional | Score87.8% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap1.8 behind | Weight6% ref. weight | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score88.4% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap7.6 behind | Weight3% ref. weight | Provider exact |
| SuperGPQASuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines | Score70.4% | Versus best verified row Best verified: Qwen 3.6 Max (preview) · 73.9% | Gap3.5 behind | Weight2% ref. weight | Provider exact |
| MMLU-Redux | Score94.9% | Versus best verified row Best verified: Qwen3.7 Max · 95% | Gap0.1 behind | WeightDisplay only | Provider exact |
| C-Eval | Score93% | Versus best verified row Best verified: Qwen3.6 Plus · 93.3% | Gap0.3 behind | WeightDisplay only | Provider exact |
Multilingual5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-ProX | Score84.7% | Versus best verified row Best verified: Qwen3.7 Max · 87% | Gap2.3 behind | WeightWeighted 100% | Provider exact |
| NOVA-63 | Score59.1% | Versus best verified row Best verified: Qwen3.5 397B · 59.1% | GapBest verified | WeightDisplay only | Provider exact |
| INCLUDE | Score85.6% | Versus best verified row Best verified: Claude Opus 5 · 89.8% | Gap4.2 behind | WeightDisplay only | Provider exact |
| PolyMath | Score73.3% | Versus best verified row Best verified: Qwen3.7 Max · 86.5% | Gap13.2 behind | WeightDisplay only | Provider exact |
| MAXIFE | Score88.2% | Versus best verified row Best verified: Qwen3.7 Max · 89.2% | Gap1 behind | WeightDisplay only | Provider exact |
Inst. Following2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score76.5% | Versus best verified row Best verified: MAI-Thinking-1 · 85% | Gap8.5 behind | WeightWeighted 70% | Provider exact |
| IFEvalInstruction-Following Eval | Score92.6% | Versus best verified row Best verified: LFM2.5-24B-A2B · 96.8% | Gap4.2 behind | WeightDisplay only | Provider exact |
Math5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| AIME26AIME 2026 | Score93.3% | Versus best verified row Best verified: GLM-5.2 · 99.2% | Gap5.9 behind | WeightWeighted 25% | Provider exact |
| HMMT Feb 2026Harvard-MIT Mathematics Tournament February 2026 | Score87.9% | Versus best verified row Best verified: Qwen3.7 Max · 97.1% | Gap9.2 behind | WeightWeighted 25% | Provider exact |
| HMMT Feb 2025Harvard-MIT Mathematics Tournament February 2025 | Score94.8% | Versus best verified row Best verified: GLM-4.7 · 97.1% | Gap2.3 behind | WeightDisplay only | Provider exact |
| HMMT Nov 2025Harvard-MIT Mathematics Tournament November 2025 | Score92.7% | Versus best verified row Best verified: Qwen3.6 Plus · 94.6% | Gap1.9 behind | WeightDisplay only | Provider exact |
| MMAnswerBench | Score80.9% | Versus best verified row Best verified: GLM-5.2 · 91.0% | Gap10.1 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 62 rowsWhat it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
Qwen3.5 397B · 55.3 score · $2.10 blended per million tokens
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Qwen3.5 397B (Reasoning)Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 128K
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Established
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Qwen3.5 397B ranks #65 of 224 on the public leaderboard with a score of 55.34/100. It does not yet have enough sourced coverage for a verified position.
Qwen3.5 397B is a open weight model with a 128K context window. No explicit reasoning mode is documented in this profile.
Qwen3.5 397B sits in the Qwen3.5 397B family with Qwen3.5 397B (Reasoning). 62 of 681 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Multilingual at #5, while its lowest eligible position is Knowledge at #68. a well-rounded choice across a range of tasks.
Last updated October 17, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersQuestions
How does Qwen3.5 397B perform overall in AI benchmarks?
Qwen3.5 397B ranks #65 out of 224 models on the public BenchAlign leaderboard, with a score of 55.34/100. Its evidence status is Estimated, and this profile shows 62 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Qwen3.5 397B good for knowledge and understanding?
Qwen3.5 397B ranks #68 out of 184 eligible models for knowledge and understanding, with a public category score of 53.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Qwen3.5 397B good for coding and programming?
Qwen3.5 397B has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Qwen3.5 397B good for mathematics?
Qwen3.5 397B has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Qwen3.5 397B good for reasoning and logic?
Qwen3.5 397B has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Qwen3.5 397B good for agentic tool use and computer tasks?
Qwen3.5 397B ranks #61 out of 128 eligible models for agentic tool use and computer tasks, with a public category score of 43.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Qwen3.5 397B good for multimodal and grounded tasks?
Qwen3.5 397B ranks #29 out of 54 eligible models for multimodal and grounded tasks, with a public category score of 73.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Qwen3.5 397B good for instruction following?
Qwen3.5 397B ranks #59 out of 148 eligible models for instruction following, with a public category score of 79.9/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Qwen3.5 397B good for multilingual tasks?
Qwen3.5 397B ranks #5 out of 17 eligible models for multilingual tasks, with a public category score of 93.8/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Qwen3.5 397B open source?
Qwen3.5 397B is an open-weight model from Alibaba. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to Qwen3.5 397B?
Qwen3.5 397B belongs to the Qwen3.5 397B family. Related tracked variants include Qwen3.5 397B (Reasoning). A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does Qwen3.5 397B have full benchmark coverage on BenchLM?
No. Qwen3.5 397B currently has 73 source-displayable rows across 681 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Qwen3.5 397B?
Qwen3.5 397B has a reported context window of 128K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.