Model comparison
GPT-5.5 Instant vs Mistral Large
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 31.9 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. GPT-5.5 Instant scores higher in 8 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.5 Instant leads 61.8 to 40.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.1% for GPT-5.5 Instant and 8.5% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Instant | Mistral Large | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.7 | 31.9 |
| Released | 2026-05-05 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 27 | 51 |
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Category by category
Coding GPT-5.5 Instant leads
GPT-5.5 Instant: 44.3 (#74), Mistral Large: 34.3 (#240)
| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| SciCode | 48.6% | 36.2% |
| LMArena Coding | 1433 | 1277 |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
GPT-5.5 Instant: —, Mistral Large: 28.6 (#89)
| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning GPT-5.5 Instant leads
GPT-5.5 Instant: 24.9 (#155), Mistral Large: 15.8 (#310)
| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1426 | 1257 |
| Epoch Capabilities Index | 142.52 | 128.52 |
| SimpleBench | — | 22.5% |
| Chess Puzzles | 12% | — |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math GPT-5.5 Instant leads
GPT-5.5 Instant: 26.5 (#259), Mistral Large: 18.2 (#291)
| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.1% | 8.5% |
| LMArena Math | 1420 | 1262 |
| FrontierMath (Tiers 1-3) | 26.3% | — |
| FrontierMath Tier 4 | 2.4% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge GPT-5.5 Instant leads
GPT-5.5 Instant: 48.9 (#74), Mistral Large: 30.1 (#230)
| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| GPQA Diamond | 82.5% | 51.3% |
| LMArena Expert | 1409 | 1232 |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |
Multimodal Not comparable
GPT-5.5 Instant: 40.0 (#52), Mistral Large: —
| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| LMArena Vision | 1250 | — |
| LMArena Document | 1403 | — |
Multilingual GPT-5.5 Instant leads
GPT-5.5 Instant: 52.8 (#80), Mistral Large: 40.0 (#219)
| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| LMArena Non-English | 1417 | 1237 |
| LMArena Chinese | 1456 | 1240 |
| LMArena French | 1428 | 1325 |
| LMArena German | 1411 | 1254 |
| LMArena Japanese | 1408 | 1188 |
| LMArena Korean | 1392 | 1202 |
| LMArena Russian | 1431 | 1257 |
| LMArena Spanish | 1429 | 1268 |
Instruction Following GPT-5.5 Instant leads
GPT-5.5 Instant: 74.2 (#100), Mistral Large: 67.9 (#191)
| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1406 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context GPT-5.5 Instant leads
GPT-5.5 Instant: 43.4 (#96), Mistral Large: 38.3 (#199)
| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1422 | 1261 |
Writing & Preference GPT-5.5 Instant leads
GPT-5.5 Instant: 61.8 (#85), Mistral Large: 40.7 (#242)
| Benchmark | GPT-5.5 Instant | Mistral Large |
|---|---|---|
| LMArena Text | 1419 | 1266 |
| LMArena Creative Writing | 1419 | 1243 |
| LMArena Multi-Turn | 1433 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is GPT-5.5 Instant better than Mistral Large?
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 31.9 on the Noometry Index.
Is GPT-5.5 Instant or Mistral Large better for coding?
GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 34.3 in the Noometry coding category.
How many benchmarks do GPT-5.5 Instant and Mistral Large share?
22 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Mistral Large has 51.