Alibaba · Model release
Data as of October 14, 2026 · How the score is built
Released Apr 29, 2025128K contextQwen3-32B model card
Qwen3 32B
Decision readingQwen3 32B is tracked, but not publicly ranked yet. The profile exposes 11 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Apr 29, 2025 — see all recent releases
Qwen3 32B will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
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
Unranked
field median 49.8Not eligible for a public rank
Price
Not listed
input median $0.80No comparable first-party hosted token rate
Speed
Not measured
field median 90 tok/sTime to first token not measured
Context
128Ktokens
field median 256,000Reported for this model; direct source link not stored
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
11 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 11 displayable benchmark rows
Follow model changesCategory 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 |
|---|---|---|---|---|---|---|
| AgenticWeight 22%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| CodingWeight 20%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank Not rankedWeight 12%4 benchmarksVerified | 51.0 | 4 benchmarks | Verified | |||
| MultilingualWeight 7%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| Inst. FollowingWeight 5%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| MathWeight 5%3 benchmarksVerified | Score pending | 3 benchmarks | Verified |
11 of 670 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.
- Agentic1/1 verified
- Coding1/1 verified
- ReasoningNot measured
- MultimodalNot measured
- Knowledge4/4 verified
- Multilingual1/1 verified
- Inst. Following1/1 verified
- Math3/3 verified
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.
Coding1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| LiveCodeBench v5 | Score31.3% | Versus best verified row Best verified: Ling 3.0 Flash · 82.8% | Gap51.5 behind | WeightDisplay only | Provider exact |
Agentic1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| BFCL v3Berkeley Function Calling Leaderboard v3 | Score63.0% | Versus best verified row Best verified: Ternary Bonsai 2 27B · 74.9% | Gap11.9 behind | WeightDisplay only | Provider exact |
Knowledge4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| GPQAGraduate-Level Google-Proof Q&A | Score54.6% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap41.4 behind | Weight3% ref. weight | Provider exact |
| MMLU-Redux | Score85.7% | Versus best verified row Best verified: Qwen3.7 Max · 95% | Gap9.3 behind | WeightDisplay only | Provider exact |
| C-Eval | Score83.3% | Versus best verified row Best verified: Qwen3.6 Plus · 93.3% | Gap10 behind | WeightDisplay only | Provider exact |
| MMMLU | Score76.5% | Versus best verified row Best verified: Interfaze Beta · 90.9% | Gap14.4 behind | WeightDisplay only | Provider exact |
Multilingual1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| INCLUDE | Score70.9% | Versus best verified row Best verified: Claude Opus 5 · 89.8% | Gap18.9 behind | WeightDisplay only | Provider exact |
Inst. Following1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFEvalInstruction-Following Eval | Score83.2% | Versus best verified row Best verified: LFM2.5-24B-A2B · 96.8% | Gap13.5 behind | WeightDisplay only | Provider exact |
Math3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MATH-500MATH-500 Problem Set | Score88.6% | Versus best verified row Best verified: Ternary Bonsai 2 27B · 98.8% | Gap10.2 behind | WeightDisplay only | Provider exact |
| AIME 2024American Invitational Mathematics Examination 2024 | Score31% | Versus best verified row Best verified: GPT-OSS 120B · 95.8% | Gap64.8 behind | WeightDisplay only | Provider exact |
| AIME 2025American Invitational Mathematics Examination 2025 | Score20.2% | Versus best verified row Best verified: GPT-5.2 · 100% | Gap79.8 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 11 rowsLineage
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 32B (Reasoning)Qwen3 32B release history
Radar confirmed these at the source. Use Qwen3 32B in your work? Explore Radar to follow supported changes and choose your alerts.
Radar
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.
We track Qwen3 32B, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
Qwen3 32B is a open weight model with a 128K context window. No explicit reasoning mode is documented in this profile.
Official exact values from the Qwen3 technical report, Table 14, non-thinking mode. BenchLM stores mmluRedux, gpqa, cEval, ifeval, math500, aime2024, aime2025, bfclV3, liveCodeBenchV5, include, mmmlu. Each value's source and evaluation setting is recorded in row-level source verification. Kept out of rankings because the published results cover few of the benchmarks BenchLM ranks on.
Qwen3 32B sits in the Qwen3 32B family with Qwen3 32B (Reasoning). 11 of 670 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated October 14, 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 32B perform overall in AI benchmarks?
Qwen3 32B has 11 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is Qwen3 32B good for knowledge and understanding?
Qwen3 32B has source-displayable benchmark coverage for knowledge and understanding, 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 32B good for coding and programming?
Qwen3 32B 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 32B good for mathematics?
Qwen3 32B 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 32B good for agentic tool use and computer tasks?
Qwen3 32B has source-displayable benchmark coverage for agentic tool use and computer tasks, 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 32B good for instruction following?
Qwen3 32B has source-displayable benchmark coverage for instruction following, 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 32B good for multilingual tasks?
Qwen3 32B has source-displayable benchmark coverage for multilingual tasks, 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 32B open source?
Qwen3 32B 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 32B?
Qwen3 32B belongs to the Qwen3 32B family. Related tracked variants include Qwen3 32B (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 32B have full benchmark coverage on BenchLM?
No. Qwen3 32B currently has 11 source-displayable rows across 670 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 32B?
Qwen3 32B 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.