Model comparison
GPT-OSS 120B vs Qwen3 Max
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-OSS 120B #116 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-OSS 120B and Qwen3 Max share 13 comparable benchmark results. 0 of 8 categories are comparable. 13 results are unique to GPT-OSS 120B; 1 to Qwen3 Max.
Updated July 23, 2026- Shared results
- 13
- GPT-OSS 120B only
- 13
- Qwen3 Max only
- 1
- Comparable categories
- 0 / 8
Benchmark data for GPT-OSS 120B and Qwen3 Max is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 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 Max has the larger context window at 1M, 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-OSS 120B | Qwen3 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-OSS 120B$0 input / $0 output | Qwen3 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-OSS 120B262 tok/s | Qwen3 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-OSS 120B0.79 s | Qwen3 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-OSS 120B128K | Qwen3 Max1M | Qwen3 Max lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3 Max | Result |
|---|---|---|---|
| AA Agentic IndexSource | 13.2% | — | Not comparable |
| APEX-Agents-AASource | 3.1% | — | Not comparable |
| τ²-bench resultsSource | 65.8% | 74.3% | Qwen3 Max leads |
| GDPval-AASource | 15.0% | — | Not comparable |
| GDPval-AASource | 799 | — | Not comparable |
| Gert LabsSource | 29.61% | 43.74% | Qwen3 Max leads |
| AA EnterpriseOps-GymSource | 25.5% | — | Not comparable |
| AA ITBenchSource | 5.6% | — | Not comparable |
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3 Max | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.8% | 24.0% | Qwen3 Max leads |
| AA-GPQA DiamondSource | 78.2% | 76.4% | GPT-OSS 120B leads |
| AA-HLESource | 18.5% | 11.1% | GPT-OSS 120B leads |
| AA-Omniscience IndexSource | -50.0% | -43.1% | Qwen3 Max leads |
| AA-Omniscience AccuracySource | 21.5% | 24.4% | Qwen3 Max leads |
| AA-Omniscience Hallucination RateSource | 91.2% | 89.4% | Qwen3 Max leads |
| AA Openness IndexSource | 38.9% | — | Not comparable |
| AA MMLU-ProSource | 80.8% | — | Not comparable |
Math1 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3 Max | Result |
|---|---|---|---|
| AA AIME 2025Source | 93.4% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3 Max | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 82.8% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3 Max | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 998 | 1148 | Qwen3 Max leads |
Inst. Following1 benchmarks
| Benchmark | GPT-OSS 120B | Qwen3 Max | Result |
|---|---|---|---|
| AA-IFBenchSource | 69.0% | 44.1% | GPT-OSS 120B leads |
Frequently Asked Questions (3)
Can I compare GPT-OSS 120B and Qwen3 Max 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 Max 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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