Coding
Directional only- o3-mini
- 45.3
- Estimated · #88/151
- Qwen3.5 397B
- 50.2
- Estimated · #59/151
- Basis
- BenchAlign lane · 1 vs 3 public rows
- Reading
- Directional only
o3-mini vs Qwen3.5 397B
Updated September 10, 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, 54.7 versus 46.83, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
3 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
o3-mini
o3-mini has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Qwen3.5 397B
Qwen3.5 397B has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
Qwen3.5 397B
Qwen3.5 397B has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
O3-mini and Qwen3.5 397B 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
O3-mini is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
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. o3-mini does not fit this workload in one request. Qwen3.5 397B does not fit this workload in one request. o3-mini has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 o3-mini only
3 Shared
35 Qwen3.5 397B only
- Shared results
- 3
- o3-mini only
- 2
- Qwen3.5 397B only
- 35
- Like-for-like categories
- 0 / 8
2 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- o3-mini
- 39.7
- Supported · #134/183
- Qwen3.5 397B
- 50.2
- Estimated · #77/183
- Basis
- BenchAlign lane · 2 vs 6 public rows
- Reading
- Directional only
Agentic
Not comparable- o3-mini
- Not ranked
- Qwen3.5 397B
- 46.8
- Estimated · #71/152
- Basis
- BenchAlign lane · 0 vs 13 public rows
- Reading
- Not comparable
Reasoning
Not comparable- o3-mini
- Not ranked
- Qwen3.5 397B
- 59.8
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Math
Not comparable- o3-mini
- Not ranked
- Qwen3.5 397B
- 74.2
- Unranked · 5 rankable rows
- Basis
- Provisional lane · 0 vs 2 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- o3-mini
- Not ranked
- Qwen3.5 397B
- 69.7
- #5/12
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- o3-mini
- Not ranked
- Qwen3.5 397B
- 63.0
- #27/48
- Basis
- Provisional lane · 0 vs 2 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- o3-mini
- Not ranked
- Qwen3.5 397B
- 0.0
- #123/123
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | o3-mini | Qwen3.5 397B | Basis | Reading |
|---|---|---|---|---|
| Coding | 45.3Estimated · #88/151 | 50.2Estimated · #59/151 | Directional onlyBenchAlign lane · 1 vs 3 public rows | Directional only |
| Knowledge | 39.7Supported · #134/183 | 50.2Estimated · #77/183 | Directional onlyBenchAlign lane · 2 vs 6 public rows | Directional only |
| Agentic | Not ranked | 46.8Estimated · #71/152 | Not comparableBenchAlign lane · 0 vs 13 public rows | Not comparable |
| Reasoning | Not ranked | 59.8Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Math | Not ranked | 74.2Unranked · 5 rankable rows | Not comparableProvisional lane · 0 vs 2 weighted rows | Not comparable |
| Multilingual | Not ranked | 69.7#5/12 | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Multimodal | Not ranked | 63.0#27/48 | Not comparableProvisional lane · 0 vs 2 weighted rows | Not comparable |
| Instruction following | Not ranked | 0.0#123/123 | Not comparableProvisional lane · 0 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.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
SWE-bench Verified
Coding
GPQA
Knowledge
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
- o3-mini
- $0.0033
- Fits in one request
- Qwen3.5 397B
- $0.0024
- Fits in one request
Qwen3.5 397B has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- o3-mini
- $0.0682
- Fits in one request
- Qwen3.5 397B
- $0.0408
- Fits in one request
Qwen3.5 397B has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- o3-mini
- $0.286
- Does not fit in one request
- Cached input priced at the published list-input rate
- Qwen3.5 397B
- $0.168
- Does not fit in one request
- Cached input priced at the published list-input rate
o3-mini does not fit this workload in one request. Qwen3.5 397B does not fit this workload in one request. o3-mini has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Specificationo3-miniQwen3.5 397B
Context window
Maximum documented context; output-token limits may be lower.
o3-mini
200K
Qwen3.5 397B
128K
API model ID
o3-mini
Not sourced
Qwen3.5 397B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
o3-mini
Not published
Qwen3.5 397B
Not published
Documented inputs
o3-mini
Not sourced
Qwen3.5 397B
Not sourced
Documented outputs
o3-mini
Not sourced
Qwen3.5 397B
Not sourced
Provider availability
o3-mini
Not sourced
Qwen3.5 397B
Not sourced
Reasoning profile
o3-mini
Reasoning
Qwen3.5 397B
Non-Reasoning
Weight access
o3-mini
Proprietary
Qwen3.5 397B
Open Weight
License
o3-mini
Proprietary
Qwen3.5 397B
Open Weight
Release date
o3-mini
2025-01-31
Qwen3.5 397B
2026-02-16
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- Qwen3.5 397B has the higher public score estimate, 54.7 versus 46.83, but the 90% score intervals overlap.
- Workload cost
- Repository review: $0.0682 vs $0.0408. Cache-heavy agent loop: $0.286 vs $0.168.
- Context tradeoff
- o3-mini has the larger documented window (200K).
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 evidence40 rows
Agentic
Terminal-Bench 2.0
o3-mini—Qwen3.5 397B52.5%SourceNot directly comparable
BrowseComp
o3-mini—Qwen3.5 397B62%SourceNot directly comparable
Claw-Eval
o3-mini—Qwen3.5 397B56.8%SourceNot directly comparable
QwenClawBench
o3-mini—Qwen3.5 397B51.8%SourceNot directly comparable
τ³-bench results
o3-mini—Qwen3.5 397B68.4%SourceNot directly comparable
VITA-Bench
o3-mini—Qwen3.5 397B43.7%SourceNot directly comparable
DeepPlanning
o3-mini—Qwen3.5 397B37.6%SourceNot directly comparable
Toolathlon
o3-mini—Qwen3.5 397B36.3%SourceNot directly comparable
MCP Atlas
o3-mini—Qwen3.5 397B46.1%SourceNot directly comparable
MCP-Tasks
o3-mini—Qwen3.5 397B74.2%SourceNot directly comparable
WideResearch
o3-mini—Qwen3.5 397B74.0%SourceNot directly comparable
Gert Labs
o3-mini—Qwen3.5 397B46.76%SourceNot directly comparable
ResearchClawBench
o3-mini—Qwen3.5 397B14.2%SourceNot directly comparable
Coding
Reasoning
Knowledge
MMLU
o3-mini86.9%SourceQwen3.5 397B—Not directly comparable
GPQA
o3-mini77.2%SourceQwen3.5 397B88.4%SourceQwen3.5 397B leads this result
SuperGPQA
o3-mini—Qwen3.5 397B70.4%SourceNot directly comparable
MMLU-Pro
o3-mini—Qwen3.5 397B87.8%SourceNot directly comparable
MMLU-Redux
o3-mini—Qwen3.5 397B94.9%SourceNot directly comparable
C-Eval
o3-mini—Qwen3.5 397B93%SourceNot directly comparable
HLE
o3-mini—Qwen3.5 397B28.7%SourceNot directly comparable
Math
AIME 2024
o3-mini87.3%SourceQwen3.5 397B—Not directly comparable
AIME26
o3-mini—Qwen3.5 397B93.3%SourceNot directly comparable
HMMT Feb 2025
o3-mini—Qwen3.5 397B94.8%SourceNot directly comparable
HMMT Nov 2025
o3-mini—Qwen3.5 397B92.7%SourceNot directly comparable
HMMT Feb 2026
o3-mini—Qwen3.5 397B87.9%SourceNot directly comparable
MMAnswerBench
o3-mini—Qwen3.5 397B80.9%SourceNot directly comparable
Multilingual
Multimodal
MMMU-Pro
o3-mini—Qwen3.5 397B79%SourceNot directly comparable
MathVision
o3-mini—Qwen3.5 397B88.6%SourceNot directly comparable
CharXiv
o3-mini—Qwen3.5 397B80.8%SourceNot directly comparable
VideoMMMU
o3-mini—Qwen3.5 397B84.7%SourceNot directly comparable
ScreenSpot Pro
o3-mini—Qwen3.5 397B65.6%SourceNot directly comparable
V*
o3-mini—Qwen3.5 397B95.8%SourceNot directly comparable
Instruction following
Frequently asked questions
Which is better, o3-mini or Qwen3.5 397B?
Qwen3.5 397B has the higher public score estimate, 54.7 versus 46.83, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, o3-mini or Qwen3.5 397B?
Qwen3.5 397B scores higher for coding on the public lane, 50.2 to 45.3. O3-mini and Qwen3.5 397B 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, o3-mini or Qwen3.5 397B?
O3-mini is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, o3-mini or Qwen3.5 397B?
For the stated presets, chat costs $0.0033 on o3-mini and $0.0024 on Qwen3.5 397B; repository review costs $0.0682 and $0.0408; the cache-heavy agent loop costs $0.286 and $0.168. o3-mini does not fit this workload in one request. Qwen3.5 397B does not fit this workload in one request. o3-mini has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, o3-mini or Qwen3.5 397B?
o3-mini has the larger documented context window: 200K, compared with 128K.
Related comparisons
Last updated September 10, 2026
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