Model comparison
Gemini 4 Argon vs Mistral Large
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 31.9 on the Noometry Index.
Last verified . 15 shared benchmarks.
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Mistral AISummary
- They share 15 benchmarks with published results for both. Gemini 4 Argon scores higher in 9 categories and Mistral Large in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 4 Argon leads 73.9 to 18.2.
- The biggest single-benchmark swing is CritPt: 27.1% for Gemini 4 Argon and 0% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Gemini 4 Argon | Mistral Large | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 56.5 | 31.9 |
| Released | 2026-09-30 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 21 | 51 |
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Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), Mistral Large: 34.3 (#240)
| Benchmark | Gemini 4 Argon | Mistral Large |
|---|---|---|
| SciCode | 61.8% | 36.2% |
| LMArena Coding | 1550 | 1277 |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Gemini 4 Argon leads
Gemini 4 Argon: 49.2 (#8), Mistral Large: 28.6 (#89)
| Benchmark | Gemini 4 Argon | Mistral Large |
|---|---|---|
| APEX-Agents | 82.2% | — |
| Berkeley Function Calling Leaderboard | — | 38.4% |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), Mistral Large: 15.8 (#310)
| Benchmark | Gemini 4 Argon | Mistral Large |
|---|---|---|
| CritPt | 27.1% | 0% |
| LMArena Hard Prompts | 1548 | 1257 |
| SimpleBench | — | 22.5% |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), Mistral Large: 18.2 (#291)
| Benchmark | Gemini 4 Argon | Mistral Large |
|---|---|---|
| LMArena Math | 1536 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| ProofBench | 99% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), Mistral Large: 30.1 (#230)
| Benchmark | Gemini 4 Argon | Mistral Large |
|---|---|---|
| LMArena Expert | 1553 | 1232 |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |
Multimodal Not comparable
Gemini 4 Argon: 46.5 (#14), Mistral Large: —
| Benchmark | Gemini 4 Argon | Mistral Large |
|---|---|---|
| Blueprint-Bench 2 | 54.4% | — |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), Mistral Large: 40.0 (#219)
| Benchmark | Gemini 4 Argon | Mistral Large |
|---|---|---|
| LMArena Non-English | 1523 | 1237 |
| LMArena Chinese | 1610 | 1240 |
| LMArena Russian | 1537 | 1257 |
| LMArena Spanish | 1497 | 1268 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), Mistral Large: 67.9 (#191)
| Benchmark | Gemini 4 Argon | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1538 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), Mistral Large: 38.3 (#199)
| Benchmark | Gemini 4 Argon | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1549 | 1261 |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), Mistral Large: 40.7 (#242)
| Benchmark | Gemini 4 Argon | Mistral Large |
|---|---|---|
| LMArena Text | 1534 | 1266 |
| LMArena Creative Writing | 1531 | 1243 |
| LMArena Multi-Turn | 1557 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Gemini 4 Argon better than Mistral Large?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 31.9 on the Noometry Index.
Is Gemini 4 Argon or Mistral Large better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 34.3 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and Mistral Large share?
15 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Mistral Large has 51.