Codestral 2508 vs Gemini 3.1 Flash
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Codestral 2508 and Gemini 3.1 Flash.
Codestral 2508
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
Gemini 3.1 Flash
Gemini 3.1 Flash is Google's high-speed, cost-efficient multimodal model in the 3.1 generation, purpose-built for high-volume content synthesis, classification, and intelligent routing at scale. Featuring a 1-million-token context window, it can process large batches of documents, customer data, or multimedia content in a single inference pass, dramatically reducing pipeline complexity. At just $0.25/MTok for input, it is one of the most affordable routes to Google-caliber multimodal AI, making it an ideal backbone for production pipelines, data enrichment workflows, and high-frequency API integrations.
Technical Specifications
| Specification | Codestral 2508 | Gemini 3.1 Flash |
|---|---|---|
| Provider | Mistral | |
| Context Window | 256,000 tokens | 1,000,000 tokens |
| Agent Suitability | N/A | 86/100 |
| Time to First Token (TTFT) | N/A | 150 ms |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-01 | 2026-04-20 |
API Pricing Comparison
Input Price per Million Tokens
Codestral 2508
$0.30
Gemini 3.1 Flash
$0.25
Output Price per Million Tokens
Codestral 2508
$0.90
Gemini 3.1 Flash
$1.50
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Codestral 2508 Quirks & Gotchas
No developer gotchas reported.
Gemini 3.1 Flash Quirks & Gotchas
- โธMost cost-effective Google model โ ideal for high-volume pipelines
- โธContext caching available via Vertex AI for repeated document processing