Model comparison
GPT-5.1-Codex vs Mistral Medium 3
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-5.1-Codex #99 (Estimated); Mistral Medium 3 #156 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.1-Codex and Mistral Medium 3 share 13 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GPT-5.1-Codex; 0 to Mistral Medium 3.
Updated July 23, 2026- Shared results
- 13
- GPT-5.1-Codex only
- 3
- Mistral Medium 3 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.1-Codex and Mistral Medium 3 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.
GPT-5.1-Codex has the larger context window at 400K, compared with 128K for Mistral Medium 3.
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-5.1-Codex | Mistral Medium 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.1-CodexNot available | Mistral Medium 3$0.4 input / $2 output | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.1-CodexNot available | Mistral Medium 357 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.1-CodexNot available | Mistral Medium 31.20 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.1-Codex400K | Mistral Medium 3128K | GPT-5.1-Codex lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-5.1-Codex | Mistral Medium 3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 34.7% | 12.5% | GPT-5.1-Codex leads |
| AA-GPQA DiamondSource | 86.0% | 57.8% | GPT-5.1-Codex leads |
| AA-HLESource | 23.4% | 4.3% | GPT-5.1-Codex leads |
| AA-Omniscience IndexSource | -6.0% | -31.5% | GPT-5.1-Codex leads |
| AA-Omniscience AccuracySource | 39.2% | 18.3% | GPT-5.1-Codex leads |
| AA-Omniscience Hallucination RateSource | 74.4% | 60.9% | Mistral Medium 3 leads |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.1-Codex | Mistral Medium 3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 70.0% | 39.3% | GPT-5.1-Codex leads |
Frequently Asked Questions (3)
Can I compare GPT-5.1-Codex and Mistral Medium 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-5.1-Codex and Mistral Medium 3 today?
Mistral Medium 3: $0.40 input / $2.00 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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