Model comparison
Codestral vs Gemini 4 Argon
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 30.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
GoogleSummary
- The widest gap is in coding, where Gemini 4 Argon leads 62.0 to 27.3.
Side by side
| Codestral | Gemini 4 Argon | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 30.6 | 56.5 |
| Released | 2024-05-29 | 2026-09-30 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 21 |
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Category by category
Coding Gemini 4 Argon leads
Codestral: 27.3 (#321), Gemini 4 Argon: 62.0 (#9)
| Benchmark | Codestral | Gemini 4 Argon |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| LMArena WebDev | — | 1678 |
| FrontierSWE | — | 55% |
| SciCode | — | 61.8% |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1550 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Agentic & Tool Use Not comparable
Codestral: —, Gemini 4 Argon: 49.2 (#8)
| Benchmark | Codestral | Gemini 4 Argon |
|---|---|---|
| APEX-Agents | — | 82.2% |
| Vending-Bench 2 | — | 13,718 |
Reasoning Gemini 4 Argon leads
Codestral: 19.8 (#251), Gemini 4 Argon: 44.2 (#47)
| Benchmark | Codestral | Gemini 4 Argon |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| CritPt | — | 27.1% |
| LMArena Hard Prompts | — | 1548 |
Math Not comparable
Codestral: —, Gemini 4 Argon: 73.9 (#17)
| Benchmark | Codestral | Gemini 4 Argon |
|---|---|---|
| ProofBench | — | 99% |
| LMArena Math | — | 1536 |
Knowledge Not comparable
Codestral: —, Gemini 4 Argon: 43.9 (#89)
| Benchmark | Codestral | Gemini 4 Argon |
|---|---|---|
| LMArena Expert | — | 1553 |
Multimodal Not comparable
Codestral: —, Gemini 4 Argon: 46.5 (#14)
| Benchmark | Codestral | Gemini 4 Argon |
|---|---|---|
| Blueprint-Bench 2 | — | 54.4% |
Multilingual Not comparable
Codestral: —, Gemini 4 Argon: 60.3 (#1)
| Benchmark | Codestral | Gemini 4 Argon |
|---|---|---|
| LMArena Non-English | — | 1523 |
| LMArena Chinese | — | 1610 |
| LMArena Russian | — | 1537 |
| LMArena Spanish | — | 1497 |
Instruction Following Not comparable
Codestral: —, Gemini 4 Argon: 80.1 (#2)
| Benchmark | Codestral | Gemini 4 Argon |
|---|---|---|
| LMArena Instruction Following | — | 1538 |
Long Context Not comparable
Codestral: —, Gemini 4 Argon: 47.6 (#15)
| Benchmark | Codestral | Gemini 4 Argon |
|---|---|---|
| LMArena Longer Query | — | 1549 |
Writing & Preference Not comparable
Codestral: —, Gemini 4 Argon: 71.4 (#19)
| Benchmark | Codestral | Gemini 4 Argon |
|---|---|---|
| LMArena Text | — | 1534 |
| LMArena Creative Writing | — | 1531 |
| LMArena Multi-Turn | — | 1557 |
Frequently asked questions
Is Codestral better than Gemini 4 Argon?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 30.6 on the Noometry Index.
Is Codestral or Gemini 4 Argon better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and Gemini 4 Argon share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Gemini 4 Argon has 21.