Model comparison
GPT-OSS 120B vs Qwen3.6-35B-A3B
Head-to-head evidence from 17 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: GPT-OSS 120B unranked; Qwen3.6-35B-A3B #31
BenchAlign evidence: GPT-OSS 120B supported; Qwen3.6-35B-A3B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-OSS 120B and Qwen3.6-35B-A3B share 17 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to GPT-OSS 120B; 41 to Qwen3.6-35B-A3B.
Updated July 15, 2026- Shared results
- 17
- GPT-OSS 120B only
- 11
- Qwen3.6-35B-A3B only
- 41
- Comparable categories
- 0 / 8
Benchmark data for GPT-OSS 120B and Qwen3.6-35B-A3B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Qwen3.6-35B-A3B has the larger context window at 262K, compared with 128K for GPT-OSS 120B.
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-OSS 120B | Δ | Qwen3.6-35B-A3B |
|---|---|---|---|
| Agentic | GPT-OSS 120BNot measured | MarginNo overlap | Qwen3.6-35B-A3B51.5 |
| Coding | GPT-OSS 120BNot measured | MarginNo overlap | Qwen3.6-35B-A3B73.8 |
| Knowledge | GPT-OSS 120BNot measured | MarginNo overlap | Qwen3.6-35B-A3B51.8 |
| Math | GPT-OSS 120BNot measured | MarginNo overlap | Qwen3.6-35B-A3B88.2 |
| Multimodal | GPT-OSS 120BNot measured | MarginNo overlap | Qwen3.6-35B-A3B76.3 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-OSS 120B | Qwen3.6-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-OSS 120B$0 input / $0 output | Qwen3.6-35B-A3BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-OSS 120B262 tok/s | Qwen3.6-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-OSS 120B0.79 s | Qwen3.6-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-OSS 120B128K | Qwen3.6-35B-A3B262K | Qwen3.6-35B-A3B lists the larger context window. |
Benchmark Deep Dive
Agentic19 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA Agentic IndexSource | 13.2% | 21.4% | Qwen3.6-35B-A3B leads |
| APEX-Agents-AASource | 3.1% | — | Not comparable |
| τ²-bench resultsSource | 65.8% | 95.3% | Qwen3.6-35B-A3B leads |
| GDPval-AASource | 15.0% | 27.4% | Qwen3.6-35B-A3B leads |
| GDPval-AASource | 799 | 1049 | Qwen3.6-35B-A3B leads |
| Gert LabsSource | 29.61% | 42.65% | Qwen3.6-35B-A3B leads |
| AA EnterpriseOps-GymSource | 25.5% | — | Not comparable |
| AA Harvey LABSource | 0.0% | — | Not comparable |
| AA ITBenchSource | 5.6% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 51.5% | Not comparable |
| Claw-EvalSource | — | 68.7% | Not comparable |
| QwenClawBenchSource | — | 52.6% | Not comparable |
| QwenWebBenchSource | — | 1397 | Not comparable |
| τ³-bench resultsSource | — | 67.2% | Not comparable |
| VITA-BenchSource | — | 35.6% | Not comparable |
| DeepPlanningSource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 26.9% | Not comparable |
| MCP AtlasSource | — | 62.8% | Not comparable |
| WideResearchSource | — | 60.1% | Not comparable |
Coding11 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| React Native EvalsSource | 71.6% | — | Not comparable |
| AA Coding IndexSource | 30.4% | 41.9% | Qwen3.6-35B-A3B leads |
| Terminal-Bench HardSource | 23.5% | 34.8% | Qwen3.6-35B-A3B leads |
| AA-SciCodeSource | 38.9% | 35.8% | GPT-OSS 120B leads |
| AA LiveCodeBenchSource | 87.8% | — | Not comparable |
| SWE-bench VerifiedSource | — | 73.4% | Not comparable |
| SWE MultilingualSource | — | 67.2% | Not comparable |
| SWE-bench ProSource | — | 49.5% | Not comparable |
| Terminal-Bench 2.0Source | — | 51.5% | Not comparable |
| LiveCodeBenchSource | — | 80.4% | Not comparable |
| NL2RepoSource | — | 29.4% | Not comparable |
Reasoning2 benchmarks
Knowledge13 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.8% | 31.6% | Qwen3.6-35B-A3B leads |
| AA-GPQA DiamondSource | 78.2% | 84.1% | Qwen3.6-35B-A3B leads |
| AA-HLESource | 18.5% | 20.2% | Qwen3.6-35B-A3B leads |
| AA-Omniscience IndexSource | -50.0% | -21.4% | Qwen3.6-35B-A3B leads |
| AA-Omniscience AccuracySource | 21.5% | 18.9% | GPT-OSS 120B leads |
| AA-Omniscience Hallucination RateSource | 91.2% | 49.7% | Qwen3.6-35B-A3B leads |
| AA Openness IndexSource | 38.9% | — | Not comparable |
| AA MMLU-ProSource | 80.8% | — | Not comparable |
| MMLU-ProSource | — | 85.2% | Not comparable |
| SuperGPQASource | — | 64.7% | Not comparable |
| C-EvalSource | — | 90% | Not comparable |
| GPQASource | — | 86% | Not comparable |
| HLESource | — | 21.4% | Not comparable |
Math6 benchmarks
Multilingual1 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 82.8% | — | Not comparable |
Multimodal16 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1002 | — | Not comparable |
| MMMUSource | — | 81.7% | Not comparable |
| MMMU-ProSource | — | 75.3% | Not comparable |
| RealWorldQASource | — | 85.3% | Not comparable |
| OmniDocBench 1.5Source | — | 89.9% | Not comparable |
| CharXivSource | — | 78% | Not comparable |
| SimpleVQASource | — | 58.9% | Not comparable |
| CC-OCRSource | — | 81.9% | Not comparable |
| AI2D_TESTSource | — | 92.7% | Not comparable |
| RefCOCO (avg)Source | — | 92.0% | Not comparable |
| ODINW13Source | — | 50.8% | Not comparable |
| Video-MME (with subtitle)Source | — | 86.6% | Not comparable |
| Video-MME (w/o subtitle)Source | — | 82.5% | Not comparable |
| VideoMMMUSource | — | 83.7% | Not comparable |
| MLVU (M-Avg)Source | — | 86.2% | Not comparable |
| AA-MMMU-ProSource | — | 75.0% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | 69.0% | 64.4% | GPT-OSS 120B leads |
Frequently Asked Questions (3)
Can I compare GPT-OSS 120B and Qwen3.6-35B-A3B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-OSS 120B and Qwen3.6-35B-A3B today?
GPT-OSS 120B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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