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codestral-2508

Mistral · chat model

codestral-2508 is listed here as a chat model from Mistral. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.3000 / 1M tokens
Output
$0.9000 / 1M tokens
Cached input
N/A
Context
256.0K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$0.3000 / 1M tokens
Output
$0.9000 / 1M tokens
Embedding
$0.3000 / 1M tokens

Token limits

Context window
256.0K
Max input tokens
256.0K
Max output tokens
256.0K
Max tokens
256.0K

Capabilities

Capability Supported
Vision —
Function calling ✅
Parallel function calling —
Tool choice ✅
Prompt caching —
Reasoning —
Response schema ✅
System messages —
Audio input —
Audio output —
Web search —
PDF input —
Video input —

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
Codestral 25.01 overview table 81.1% HumanEval Base model: Codestral (Codestral-2405) 2026-05-31 Link
Codestral 25.01 overview table 78.2% MBPP Base model: Codestral (Codestral-2405) 2026-05-31 Link
Codestral 25.01 overview table 51.3% CruxEval Base model: Codestral (Codestral-2405) 2026-05-31 Link
Codestral 25.01 overview table 31.5% LiveCodeBench Base model: Codestral (Codestral-2405) 2026-05-31 Link
Codestral 25.01 overview table 34.0% RepoBench Base model: Codestral (Codestral-2405) 2026-05-31 Link
Codestral 25.01 overview table 63.5% Spider Base model: Codestral (Codestral-2405) 2026-05-31 Link
Codestral 25.01 overview table 50.5% CanItEdit Base model: Codestral (Codestral-2405) 2026-05-31 Link
Codestral 25.01 overview table 65.6% HumanEval (average) Base model: Codestral (Codestral-2405) 2026-05-31 Link
Codestral 25.01 overview table 82.1% HumanEvalFIM (average) Base model: Codestral (Codestral-2405) 2026-05-31 Link
Aider Polyglot 11.1% percent correct Base model: Codestral (Codestral 25.01) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Docs

Official docs

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
codestral-2508
Mistral
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
minimax-m2p1
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In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
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minimax-m2p1
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In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
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Text covered
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devstral-latest
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In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
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devstral-medium-latest
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In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
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devstral-2512
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In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
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qwen3-coder
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In $0.2200 / 1M tokens
Out $0.9500 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Text covered
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devstral-small-latest
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In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
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Overall 87%
labs-devstral-small-2512
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In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
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deepseek-r1-distill-llama-70b
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In $0.7500 / 1M tokens
Out $0.9900 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
131.1K
Text covered
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devstral-medium-2507
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In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
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firefunction-v2
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In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
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In $1.2000 / 1M tokens
Out $1.2000 / 1M tokens
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Output: text
Function callingTool choiceResponse schema
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open-mixtral-8x7b
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In $0.7000 / 1M tokens
Out $0.7000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
8.2K
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codestral
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In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
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4.0K
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kimi-k2-instruct-0905
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In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
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kimi-k2-instruct
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In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
16.4K
Text covered
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llama-v3p1-405b-instruct
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In $3.0000 / 1M tokens
Out $3.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
16.4K
Text covered
Overall 70%
glm-4.6v
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In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text imagevideo
Output: text
Function callingTool choiceResponse schema
32.8K
Text covered
Overall 57%
codestral-2@001
vertex_ai-mistral_models
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: unknown
Function callingTool choice
128.0K
Partial I/O overlap
Overall 44%
Missing text
codestral-2
vertex_ai-mistral_models
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: unknown
Function callingTool choice
128.0K
Partial I/O overlap
Overall 44%
Missing text
codestral-2@001
vertex_ai-mistral_models
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: unknown
Function callingTool choice
128.0K
Partial I/O overlap
Overall 44%
Missing text
codestral-2
vertex_ai-mistral_models
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: unknown
Function callingTool choice
128.0K
Partial I/O overlap
Overall 44%
Missing text