Model comparison
GPT-4o vs Qwen3.5 397B
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-4o #165 (Supported); Qwen3.5 397B #71 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-4o and Qwen3.5 397B share 11 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to GPT-4o; 44 to Qwen3.5 397B.
Updated July 22, 2026- Shared results
- 11
- GPT-4o only
- 2
- Qwen3.5 397B only
- 44
- Comparable categories
- 1 / 8
Pick Qwen3.5 397B if you want the stronger benchmark profile. GPT-4o only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.5 397B is clearly ahead on the BenchAlign aggregate, 57.01 to 41.49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5 397B's sharpest advantage is in mathematics, where it averages 90.6 against 0.3.
GPT-4o is also the more expensive model on tokens at $2.50 input / $10.00 output per 1M tokens, versus $0.60 input / $3.60 output per 1M tokens for Qwen3.5 397B. That is roughly 2.8x on output cost alone.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | GPT-4o | Δ | Qwen3.5 397B |
|---|---|---|---|
| Math | GPT-4o0.3 | Margin→ 90.3 | Qwen3.5 397B90.6 |
| Agentic | GPT-4oNot measured | MarginNo overlap | Qwen3.5 397B56.5 |
| Coding | GPT-4oNot measured | MarginNo overlap | Qwen3.5 397B66.5 |
| Reasoning | GPT-4oNot measured | MarginNo overlap | Qwen3.5 397B63.2 |
| Knowledge | GPT-4oNot measured | MarginNo overlap | Qwen3.5 397B56.6 |
| Multilingual | GPT-4oNot measured | MarginNo overlap | Qwen3.5 397B84.7 |
| Multimodal | GPT-4oNot measured | MarginNo overlap | Qwen3.5 397B79.6 |
| Inst. Following | GPT-4oNot measured | MarginNo overlap | Qwen3.5 397B92.6 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-4o | Qwen3.5 397B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4o$2.5 input / $10 output | Qwen3.5 397B$0.6 input / $3.6 output | Qwen3.5 397B has the lower combined listed price. |
| Generation speedtokens per second | GPT-4o131 tok/s | Qwen3.5 397B96 tok/s | GPT-4o has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-4o0.81 s | Qwen3.5 397B2.44 s | GPT-4o reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-4o128K | Qwen3.5 397B128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic18 benchmarks
| Benchmark | GPT-4o | Qwen3.5 397B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 25.1% | 95.6% | Qwen3.5 397B leads |
| Terminal-Bench 2.0Source | — | 52.5% | Not comparable |
| BrowseCompSource | — | 62% | Not comparable |
| Claw-EvalSource | — | 56.8% | Not comparable |
| QwenClawBenchSource | — | 51.8% | Not comparable |
| τ³-bench resultsSource | — | 68.4% | Not comparable |
| VITA-BenchSource | — | 43.7% | Not comparable |
| DeepPlanningSource | — | 37.6% | Not comparable |
| ToolathlonSource | — | 36.3% | Not comparable |
| MCP AtlasSource | — | 46.1% | Not comparable |
| MCP-TasksSource | — | 74.2% | Not comparable |
| WideResearchSource | — | 74.0% | Not comparable |
| Gert LabsSource | — | 46.76% | Not comparable |
| ResearchClawBenchSource | — | 14.2% | Not comparable |
| AA Agentic IndexSource | — | 19.9% | Not comparable |
| APEX-Agents-AASource | — | 15.3% | Not comparable |
| GDPval-AASource | — | 23.1% | Not comparable |
| GDPval-AASource | — | 962 | Not comparable |
Coding5 benchmarks
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | GPT-4o | Qwen3.5 397B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 11.2% | 33.7% | Qwen3.5 397B leads |
| AA-GPQA DiamondSource | 54.3% | 89.3% | Qwen3.5 397B leads |
| AA-HLESource | 3.3% | 27.3% | Qwen3.5 397B leads |
| AA-Omniscience IndexSource | -10.7% | -29.8% | GPT-4o leads |
| AA-Omniscience AccuracySource | 19.7% | 31.4% | Qwen3.5 397B leads |
| AA-Omniscience Hallucination RateSource | 37.9% | 89.1% | GPT-4o leads |
| GPQASource | — | 88.4% | Not comparable |
| SuperGPQASource | — | 70.4% | Not comparable |
| MMLU-ProSource | — | 87.8% | Not comparable |
| MMLU-ReduxSource | — | 94.9% | Not comparable |
| C-EvalSource | — | 93% | Not comparable |
| HLESource | — | 28.7% | Not comparable |
MathQwen3.5 397B wins6 benchmarks
Multilingual2 benchmarks
Multimodal8 benchmarks
| Benchmark | GPT-4o | Qwen3.5 397B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 861 | — | Not comparable |
| MMMU-ProSource | — | 79% | Not comparable |
| MathVisionSource | — | 88.6% | Not comparable |
| CharXivSource | — | 80.8% | Not comparable |
| VideoMMMUSource | — | 84.7% | Not comparable |
| ScreenSpot ProSource | — | 65.6% | Not comparable |
| V*Source | — | 95.8% | Not comparable |
| AA-MMMU-ProSource | — | 77.3% | Not comparable |
Frequently Asked Questions (2)
Which is better, GPT-4o or Qwen3.5 397B?
Qwen3.5 397B is ahead on BenchLM's BenchAlign leaderboard, 57.01 to 41.49.
Which is better for math, GPT-4o or Qwen3.5 397B?
Qwen3.5 397B has the edge for math in this comparison, averaging 90.6 versus 0.3. GPT-4o stays close enough that the answer can still flip depending on your workload.
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