Model comparison
Codestral and Gemini 4 Argon compared on price, context window, capabilities and published benchmarks. Data comes from the OpenModels registry.
| Specification | Codestral | Gemini 4 Argon |
|---|---|---|
| Developer | Codestral | |
| Released | Jan 14, 2025 | Oct 1, 2026 |
| Context window | 256K tokens | 1M tokens |
| Input price / 1M | $0.30via Mistral AI | — |
| Output price / 1M | $0.90via Mistral AI | — |
| Providers | 1 | 0 |
| License | other | proprietary |
| Input modalities | code, text | audio, code, image, text, video |
| Capabilities | chat, completion, code-generation | chat, completion, function-calling, vision, audio, code-generation, reasoning |
| Reasoning | No | Yes |
| Tool calling | No | Yes |
Only benchmarks with a published score for at least one of the two models are shown. Published scores with their sources. Vendor-reported results use the vendor's own evaluation settings and are not directly comparable across vendors.
| Benchmark | Codestral | Gemini 4 Argon |
|---|---|---|
| Artificial Analysis Intelligence Index | — | 53Artificial Analysis · Independent |
| AutomationBench | — | 51.3%Google (via Help Net Security) · Vendor-reported |
| CWE-bench | — | 68%Google (via Help Net Security) · Vendor-reported |
| DeepSWE 1.1 | — | 77.9% · Vendor-reported |
| LVBench | — | 91.7%Google (via Help Net Security) · Vendor-reported |
|---|