Mistral AICodestral 2508
No cheaper ranked model scores higher: it is on the price frontier.
As of 6 Nov 2026, Codestral 2508 by Mistral AI is not yet ranked on the BenchLeader Index, which needs at least five independent results across two categories. API pricing: $0.300 per 1M input tokens and $0.900 per 1M output tokens ($0.450 blended at 3:1), list price on 6 Nov 2026. It streams about 110 tokens/s (OpenRouter). Released 30 Jul 2025.
Key facts (as of 6 Nov 2026)
- Codestral 2508 API pricing: $0.300 per 1M input tokens and $0.900 per 1M output tokens ($0.450 blended at 3:1) (list price, 6 Nov 2026).
- Codestral 2508 streams about 110 tokens/s (OpenRouter, 6 Nov 2026).
- Codestral 2508 was released on 30 Jul 2025 (Mistral AI).
In detail. Codestral 2508 is a Mistral AI proprietary model, released 30 Jul 2025. It is not yet ranked: the index needs at least five independent results across two categories. At $0.450 per million tokens blended it is cheaper than most ranked models. Output speed of 112 tokens per second puts it in the fastest quarter, with a first token in 0.4 s.
- Blended price
- $0.450/M
- $0.300 in · $0.900 out
- via models.dev
- Output speed
- 112 tok/s
- OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
- First answer
- 0.37 s
- Context
- 256k
- via models.dev
- Full answer
- –
- Cost per task
- –
- Tokens per task
- –
- Released
- 30 Jul 2025
- Reasoning32
Versions
Mistral AI has shipped 2 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| Codestral 2508this page | 30 Jul 2025 | – | – |
| Codestral 2405 | – | – | – |
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | not stated | Source |
|---|---|---|
| Kagi LLM Benchmark | 32.5%#121 | Kagi LLM Benchmark |
Coding
| Benchmark | not stated | Source |
|---|---|---|
| ALE-Benchnot in index | 137.8#131 | Epoch AI Benchmarking Hub |
API pricing: where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Mistral | 102 tok/s | 0.37 s | $0.300 | $0.900 | 256k | – |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.030 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0004 | $0.0003 | 3.0 s |
| Summarize a 30-page report | 12,000 / 600 | $0.0041 | $0.0017 | 5.7 s |
| Code edit | 6,000 / 1,500 | $0.0032 | $0.0019 | 13.8 s |
| Agentic coding session | 60,000 / 4,000 | $0.022 | $0.0095 | 36.1 s |
| Structured extraction | 2,000 / 200 | $0.0008 | $0.0004 | 2.2 s |
More from Mistral AI
See also
Questions people ask
- Why does Codestral 2508 have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories, and as of 6 Nov 2026 Codestral 2508 does not have them yet. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does Codestral 2508 cost per 1M tokens?
- As of 6 Nov 2026, Codestral 2508 costs $0.300 per 1M input tokens and $0.900 per 1M output tokens, $0.450 blended (three input tokens per output token).
- When was Codestral 2508 released?
- Mistral AI released Codestral 2508 on 30 Jul 2025.
Data as of 6 Nov 2026. Compare with another model.
Cite as: BenchLeader, “Codestral 2508: benchmarks, pricing, speed and rank”, data as of 6 Nov 2026, https://www.benchleader.com/models/codestral-2508.