Coding
Directional only- Qwen3.5 397B
- 52.4
- Estimated · #56/183
- Qwen3 Max
- 45.4
- Estimated · #107/183
- Basis
- BenchAlign lane · 3 vs 1 public rows
- Reading
- Directional only
Qwen3.5 397B vs Qwen3 Max
Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Qwen3.5 397B has the higher public score estimate, 56.44 versus 43.82, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Long documents
Prompts that approach the documented context limit
Qwen3 Max
Qwen3 Max has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Qwen3.5 397B and Qwen3 Max are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Qwen3 Max is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Qwen3.5 397B does not fit this workload in one request. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate. Qwen3 Max has no comparable published API token rate.
Confidence: rate-fallback
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
37 Qwen3.5 397B only
1 Shared
1 Qwen3 Max only
- Shared results
- 1
- Qwen3.5 397B only
- 37
- Qwen3 Max only
- 1
- Like-for-like categories
- 0 / 8
3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Knowledge
Directional only- Qwen3.5 397B
- 51.6
- Estimated · #80/181
- Qwen3 Max
- 43.8
- Estimated · #123/181
- Basis
- BenchAlign lane · 6 vs 0 public rows
- Reading
- Directional only
Instruction following
Directional only- Qwen3.5 397B
- 0.0
- #120/120
- Qwen3 Max
- 51.7
- #78/120
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Directional only
Agentic
Not comparable- Qwen3.5 397B
- 48.2
- Estimated · #77/151
- Qwen3 Max
- Not ranked
- Basis
- BenchAlign lane · 13 vs 1 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Qwen3.5 397B
- 59.8
- Unranked · 2 rankable rows
- Qwen3 Max
- 55.7
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Qwen3.5 397B
- 74.2
- Unranked · 5 rankable rows
- Qwen3 Max
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Qwen3.5 397B
- 69.7
- #5/12
- Qwen3 Max
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Qwen3.5 397B
- 63.0
- #27/48
- Qwen3 Max
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
| Category | Qwen3.5 397B | Qwen3 Max | Basis | Reading |
|---|---|---|---|---|
| Coding | 52.4Estimated · #56/183 | 45.4Estimated · #107/183 | Directional onlyBenchAlign lane · 3 vs 1 public rows | Directional only |
| Knowledge | 51.6Estimated · #80/181 | 43.8Estimated · #123/181 | Directional onlyBenchAlign lane · 6 vs 0 public rows | Directional only |
| Instruction following | 0.0#120/120 | 51.7#78/120 | Directional onlyProvisional lane · 0 vs 0 weighted rows | Directional only |
| Agentic | 48.2Estimated · #77/151 | Not ranked | Not comparableBenchAlign lane · 13 vs 1 public rows | Not comparable |
| Reasoning | 59.8Unranked · 2 rankable rows | 55.7Unranked · 2 rankable rows | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Math | 74.2Unranked · 5 rankable rows | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Multilingual | 69.7#5/12 | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Multimodal | 63.0#27/48 | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Qwen3.5 397B
- $0.0024
- Fits in one request
- Qwen3 Max
- API rate not published
- Fits in one request
Qwen3 Max has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Qwen3.5 397B
- $0.0408
- Fits in one request
- Qwen3 Max
- API rate not published
- Fits in one request
Qwen3 Max has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Qwen3.5 397B
- $0.168
- Does not fit in one request
- Cached input priced at the published list-input rate
- Qwen3 Max
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Qwen3.5 397B does not fit this workload in one request. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate. Qwen3 Max has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationQwen3.5 397BQwen3 Max
Context window
Maximum documented context; output-token limits may be lower.
Qwen3.5 397B
128K
Qwen3 Max
1M
API model ID
Qwen3.5 397B
Not sourced
Qwen3 Max
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Qwen3.5 397B
Not published
Qwen3 Max
No comparable hosted API rate
Documented inputs
Qwen3.5 397B
Not sourced
Qwen3 Max
Not sourced
Documented outputs
Qwen3.5 397B
Not sourced
Qwen3 Max
Not sourced
Provider availability
Qwen3.5 397B
Not sourced
Qwen3 Max
Not sourced
Reasoning profile
Qwen3.5 397B
Non-Reasoning
Qwen3 Max
Reasoning
Weight access
Qwen3.5 397B
Open Weight
Qwen3 Max
Proprietary
License
Qwen3.5 397B
Open Weight
Qwen3 Max
Proprietary
Release date
Qwen3.5 397B
2026-02-16
Qwen3 Max
2026-04-20
If you already use one of these models
- Deployment change
- Both entries list Alibaba as the provider. Confirm endpoint, model ID, limits, and feature support before switching.
- Quality signal
- Qwen3.5 397B has the higher public score estimate, 56.44 versus 43.82, but the 90% score intervals overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Qwen3 Max has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence39 rows
Agentic
Terminal-Bench 2.0
Qwen3.5 397B52.5%SourceQwen3 Max—Not directly comparable
BrowseComp
Qwen3.5 397B62%SourceQwen3 Max—Not directly comparable
Claw-Eval
Qwen3.5 397B56.8%SourceQwen3 Max—Not directly comparable
QwenClawBench
Qwen3.5 397B51.8%SourceQwen3 Max—Not directly comparable
τ³-bench results
Qwen3.5 397B68.4%SourceQwen3 Max—Not directly comparable
VITA-Bench
Qwen3.5 397B43.7%SourceQwen3 Max—Not directly comparable
DeepPlanning
Qwen3.5 397B37.6%SourceQwen3 Max—Not directly comparable
Toolathlon
Qwen3.5 397B36.3%SourceQwen3 Max—Not directly comparable
MCP Atlas
Qwen3.5 397B46.1%SourceQwen3 Max—Not directly comparable
MCP-Tasks
Qwen3.5 397B74.2%SourceQwen3 Max—Not directly comparable
WideResearch
Qwen3.5 397B74.0%SourceQwen3 Max—Not directly comparable
Gert Labs
Shared sourceQwen3.5 397B46.76%Qwen3 Max43.74%Qwen3.5 397B leads this result
ResearchClawBench
Qwen3.5 397B14.2%SourceQwen3 Max—Not directly comparable
Coding
Reasoning
Knowledge
GPQA
Qwen3.5 397B88.4%SourceQwen3 Max—Not directly comparable
SuperGPQA
Qwen3.5 397B70.4%SourceQwen3 Max—Not directly comparable
MMLU-Pro
Qwen3.5 397B87.8%SourceQwen3 Max—Not directly comparable
MMLU-Redux
Qwen3.5 397B94.9%SourceQwen3 Max—Not directly comparable
C-Eval
Qwen3.5 397B93%SourceQwen3 Max—Not directly comparable
HLE
Qwen3.5 397B28.7%SourceQwen3 Max—Not directly comparable
Math
AIME26
Qwen3.5 397B93.3%SourceQwen3 Max—Not directly comparable
HMMT Feb 2025
Qwen3.5 397B94.8%SourceQwen3 Max—Not directly comparable
HMMT Nov 2025
Qwen3.5 397B92.7%SourceQwen3 Max—Not directly comparable
HMMT Feb 2026
Qwen3.5 397B87.9%SourceQwen3 Max—Not directly comparable
MMAnswerBench
Qwen3.5 397B80.9%SourceQwen3 Max—Not directly comparable
Multilingual
Multimodal
MMMU-Pro
Qwen3.5 397B79%SourceQwen3 Max—Not directly comparable
MathVision
Qwen3.5 397B88.6%SourceQwen3 Max—Not directly comparable
CharXiv
Qwen3.5 397B80.8%SourceQwen3 Max—Not directly comparable
VideoMMMU
Qwen3.5 397B84.7%SourceQwen3 Max—Not directly comparable
ScreenSpot Pro
Qwen3.5 397B65.6%SourceQwen3 Max—Not directly comparable
V*
Qwen3.5 397B95.8%SourceQwen3 Max—Not directly comparable
Instruction following
IFEval
Qwen3.5 397B92.6%SourceQwen3 Max—Not directly comparable
Frequently asked questions
Which is better, Qwen3.5 397B or Qwen3 Max?
Qwen3.5 397B has the higher public score estimate, 56.44 versus 43.82, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Qwen3.5 397B or Qwen3 Max?
Qwen3.5 397B scores higher for coding on the public lane, 52.4 to 45.4. Qwen3.5 397B and Qwen3 Max are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Qwen3.5 397B or Qwen3 Max?
Qwen3 Max is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Qwen3.5 397B or Qwen3 Max?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, Qwen3.5 397B or Qwen3 Max?
Qwen3 Max has the larger documented context window: 1M, compared with 128K.
Related comparisons
Last updated September 4, 2026
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