Model comparison
GPT-OSS 120B vs Mistral 7B v0.3
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-OSS 120B #116 (Supported); Mistral 7B v0.3 #173 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-OSS 120B and Mistral 7B v0.3 share 0 comparable benchmark results. 0 of 8 categories are comparable. 26 results are unique to GPT-OSS 120B; 0 to Mistral 7B v0.3.
Updated July 22, 2026- Shared results
- 0
- GPT-OSS 120B only
- 26
- Mistral 7B v0.3 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-OSS 120B and Mistral 7B v0.3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for Mistral 7B v0.3 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
GPT-OSS 120B has the larger context window at 128K, compared with 32K for Mistral 7B v0.3.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-OSS 120B | Mistral 7B v0.3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-OSS 120B$0 input / $0 output | Mistral 7B v0.3$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | GPT-OSS 120B262 tok/s | Mistral 7B v0.3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-OSS 120B0.79 s | Mistral 7B v0.3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-OSS 120B128K | Mistral 7B v0.332K | GPT-OSS 120B lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | GPT-OSS 120B | Mistral 7B v0.3 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 13.2% | — | Not comparable |
| APEX-Agents-AASource | 3.1% | — | Not comparable |
| τ²-bench resultsSource | 65.8% | — | 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
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | GPT-OSS 120B | Mistral 7B v0.3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.8% | — | Not comparable |
| AA-GPQA DiamondSource | 78.2% | — | Not comparable |
| AA-HLESource | 18.5% | — | Not comparable |
| AA-Omniscience IndexSource | -50.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 21.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 91.2% | — | Not comparable |
| AA Openness IndexSource | 38.9% | — | Not comparable |
| AA MMLU-ProSource | 80.8% | — | Not comparable |
Math1 benchmarks
| Benchmark | GPT-OSS 120B | Mistral 7B v0.3 | Result |
|---|---|---|---|
| AA AIME 2025Source | 93.4% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | GPT-OSS 120B | Mistral 7B v0.3 | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 82.8% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | GPT-OSS 120B | Mistral 7B v0.3 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 998 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-OSS 120B | Mistral 7B v0.3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 69.0% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-OSS 120B and Mistral 7B v0.3 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 Mistral 7B v0.3 today?
GPT-OSS 120B: $0.00 input / $0.00 output per 1M tokens Mistral 7B v0.3: $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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