Model comparison
Gemma 4 12B vs GPT-OSS 120B
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: Gemma 4 12B #137 (Estimated); GPT-OSS 120B #116 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 12B and GPT-OSS 120B share 11 comparable benchmark results. 0 of 8 categories are comparable. 12 results are unique to Gemma 4 12B; 15 to GPT-OSS 120B.
Updated July 23, 2026- Shared results
- 11
- Gemma 4 12B only
- 12
- GPT-OSS 120B only
- 15
- Comparable categories
- 0 / 8
Benchmark data for Gemma 4 12B and GPT-OSS 120B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 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.
Gemma 4 12B has the larger context window at 256K, 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 | Gemma 4 12B | Δ | GPT-OSS 120B |
|---|---|---|---|
| Reasoning | Gemma 4 12B43.4 | MarginNo overlap | GPT-OSS 120BNot measured |
| Knowledge | Gemma 4 12B77.5 | MarginNo overlap | GPT-OSS 120BNot measured |
| Math | Gemma 4 12B77.5 | MarginNo overlap | GPT-OSS 120BNot measured |
| Multimodal | Gemma 4 12B69.1 | MarginNo overlap | GPT-OSS 120BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 12B | GPT-OSS 120B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 12BNot available | GPT-OSS 120B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 12BNot available | GPT-OSS 120B262 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 12BNot available | GPT-OSS 120B0.79 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 12B256K | GPT-OSS 120B128K | Gemma 4 12B lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Gemma 4 12B | GPT-OSS 120B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 36.3% | 65.8% | GPT-OSS 120B leads |
| AA Agentic IndexSource | — | 13.2% | Not comparable |
| APEX-Agents-AASource | — | 3.1% | Not comparable |
| GDPval-AASource | — | 15.0% | Not comparable |
| GDPval-AASource | — | 799 | Not comparable |
| Gert LabsSource | — | 29.61% | Not comparable |
| AA EnterpriseOps-GymSource | — | 25.5% | Not comparable |
| AA ITBenchSource | — | 5.6% | Not comparable |
Coding4 benchmarks
Reasoning4 benchmarks
Knowledge13 benchmarks
| Benchmark | Gemma 4 12B | GPT-OSS 120B | Result |
|---|---|---|---|
| GPQASource | 78.8% | — | Not comparable |
| GPQA-DSource | 78.8% | — | Not comparable |
| MMLU-ProSource | 77.2% | — | Not comparable |
| HLE w/o toolsSource | 5.2% | — | Not comparable |
| MMMLUSource | 83.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 22.0% | 23.8% | GPT-OSS 120B leads |
| AA-GPQA DiamondSource | 75.3% | 78.2% | GPT-OSS 120B leads |
| AA-HLESource | 14.8% | 18.5% | GPT-OSS 120B leads |
| AA-Omniscience IndexSource | -51.9% | -50.0% | GPT-OSS 120B leads |
| AA-Omniscience AccuracySource | 16.0% | 21.5% | GPT-OSS 120B leads |
| AA-Omniscience Hallucination RateSource | 80.8% | 91.2% | Gemma 4 12B leads |
| AA Openness IndexSource | — | 38.9% | Not comparable |
| AA MMLU-ProSource | — | 80.8% | Not comparable |
Math2 benchmarks
Multilingual1 benchmarks
| Benchmark | Gemma 4 12B | GPT-OSS 120B | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | — | 82.8% | Not comparable |
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemma 4 12B | GPT-OSS 120B | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.5% | 69.0% | Gemma 4 12B leads |
Frequently Asked Questions (3)
Can I compare Gemma 4 12B 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 Gemma 4 12B and GPT-OSS 120B 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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