Model comparison
Gemini 3.1 Pro vs GPT-OSS 120B
Head-to-head evidence from 23 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.1 Pro #83 (Estimated); GPT-OSS 120B #116 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.1 Pro and GPT-OSS 120B share 23 comparable benchmark results. 0 of 8 categories are comparable. 24 results are unique to Gemini 3.1 Pro; 4 to GPT-OSS 120B.
Updated July 20, 2026- Shared results
- 23
- Gemini 3.1 Pro only
- 24
- GPT-OSS 120B only
- 4
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.1 Pro and GPT-OSS 120B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 23 shared benchmark results across 7 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.
Gemini 3.1 Pro is priced at $2.00 input / $12.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GPT-OSS 120B. Gemini 3.1 Pro 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.
| Category | Gemini 3.1 Pro | Δ | GPT-OSS 120B |
|---|---|---|---|
| Reasoning | Gemini 3.1 Pro77.1 | MarginNo overlap | GPT-OSS 120BNot measured |
| Math | Gemini 3.1 Pro31.8 | MarginNo overlap | GPT-OSS 120BNot measured |
| Multimodal | Gemini 3.1 Pro82.6 | MarginNo overlap | GPT-OSS 120BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.1 Pro | GPT-OSS 120B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.1 Pro$2 input / $12 output | GPT-OSS 120B$0 input / $0 output | GPT-OSS 120B has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.1 Pro109 tok/s | GPT-OSS 120B262 tok/s | GPT-OSS 120B has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemini 3.1 Pro29.71 s | GPT-OSS 120B0.79 s | GPT-OSS 120B reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemini 3.1 Pro1M | GPT-OSS 120B128K | Gemini 3.1 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Gemini 3.1 Pro | GPT-OSS 120B | Result |
|---|---|---|---|
| Claw-EvalSource | 57.8% | — | Not comparable |
| DeepSearchQASource | 69.7% | — | Not comparable |
| τ²-bench resultsSource | 95.6% | 65.8% | Gemini 3.1 Pro leads |
| AA Agentic IndexSource | 21.4% | 13.2% | Gemini 3.1 Pro leads |
| APEX-Agents-AASource | 32.0% | 3.1% | Gemini 3.1 Pro leads |
| GDPval-AASource | 23.2% | 15.0% | Gemini 3.1 Pro leads |
| GDPval-AASource | 965 | 799 | Gemini 3.1 Pro leads |
| Gert LabsSource | 56.87% | 29.61% | Gemini 3.1 Pro leads |
| ResearchClawBenchSource | 13.3% | — | Not comparable |
| AA AutomationBenchSource | 37.5% | — | Not comparable |
| AA EnterpriseOps-GymSource | 42.2% | 25.5% | Gemini 3.1 Pro leads |
| AA Harvey LABSource | 0.0% | 0.0% | Tie |
| AA ITBenchSource | 30.3% | 5.6% | Gemini 3.1 Pro leads |
| AA Tau3 BankingSource | 16.5% | — | Not comparable |
| terminalBenchHardSource | 53.8% | — | Not comparable |
| aaTerminalBench21Source | 73.8% | — | Not comparable |
Coding6 benchmarks
| Benchmark | Gemini 3.1 Pro | GPT-OSS 120B | Result |
|---|---|---|---|
| LiveCodeBench ProSource | 82.9% | — | Not comparable |
| React Native EvalsSource | 78.9% | 71.6% | Gemini 3.1 Pro leads |
| Vibe Code BenchSource | 32.03% | — | Not comparable |
| AA Coding IndexSource | 68.8% | 30.4% | Gemini 3.1 Pro leads |
| AA-SciCodeSource | 58.9% | 38.9% | Gemini 3.1 Pro leads |
| AA LiveCodeBenchSource | — | 87.8% | Not comparable |
Reasoning3 benchmarks
Knowledge12 benchmarks
| Benchmark | Gemini 3.1 Pro | GPT-OSS 120B | Result |
|---|---|---|---|
| GPQA-DSource | 94.3% | — | Not comparable |
| HLE w/o toolsSource | 45.4% | — | Not comparable |
| HealthBench HardSource | 20.6% | — | Not comparable |
| MedXpertQA (Text)Source | 71.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 46.5% | 23.8% | Gemini 3.1 Pro leads |
| AA-GPQA DiamondSource | 94.1% | 78.2% | Gemini 3.1 Pro leads |
| AA-HLESource | 44.7% | 18.5% | Gemini 3.1 Pro leads |
| AA-Omniscience IndexSource | 32.9% | -50.0% | Gemini 3.1 Pro leads |
| AA-Omniscience AccuracySource | 55.3% | 21.5% | Gemini 3.1 Pro leads |
| AA-Omniscience Hallucination RateSource | 49.9% | 91.2% | Gemini 3.1 Pro leads |
| AA Openness IndexSource | — | 38.9% | Not comparable |
| AA MMLU-ProSource | — | 80.8% | Not comparable |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | Gemini 3.1 Pro | GPT-OSS 120B | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 93.2% | 82.8% | Gemini 3.1 Pro leads |
Multimodal9 benchmarks
| Benchmark | Gemini 3.1 Pro | GPT-OSS 120B | Result |
|---|---|---|---|
| MMMU-ProSource | 83.9% | — | Not comparable |
| CharXivSource | 80.2% | — | Not comparable |
| ERQASource | 69.4% | — | Not comparable |
| SimpleVQASource | 72.4% | — | Not comparable |
| ScreenSpot ProSource | 84.4% | — | Not comparable |
| ZeroBenchSource | 29.0% | — | Not comparable |
| MedXpertQA (MM)Source | 81.3% | — | Not comparable |
| AA-MMMU-ProSource | 82.4% | — | Not comparable |
| Design Arena WebsiteSource | 1284 | 1000 | Gemini 3.1 Pro leads |
Inst. Following1 benchmarks
| Benchmark | Gemini 3.1 Pro | GPT-OSS 120B | Result |
|---|---|---|---|
| AA-IFBenchSource | 77.1% | 69.0% | Gemini 3.1 Pro leads |
Frequently Asked Questions (3)
Can I compare Gemini 3.1 Pro and GPT-OSS 120B 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 Gemini 3.1 Pro and GPT-OSS 120B today?
Gemini 3.1 Pro: $2.00 input / $12.00 output per 1M tokens 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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