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Mistral AI Codestral 2508

Last updated: 41m ago

by Mistral AI · Pricing

High confidence

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)

40
Overall Score5
Rank #324 of 378 in Coding
Top 86% · Methodology v3
Score Trend
14-day history
API Pricing
$0.3/M in
$0.9/M out
Context Window
256.0K
256.0K token context
Released 2025-08-01
#324range #305-#343Top 86%
#1#378

Signal Overview

Capabilities50Pricing99Context86Recency65Output20

Score Breakdown

SignalStrengthWeightImpact
Pricingjust now
99
25%+24.8
Capabilitiesjust now
50
30%+15.0
Context Windowjust now
86
15%+12.9
Recencyjust now
65
15%+9.7
Output Capacityjust now
20
15%+3.0

Capabilities

Reasoning
Vision
Function Calling
JSON Mode
Streaming
Web Search
Image Output

Modalities

Input
text
file
Output
text

Recent Mistral AI releases

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Reviews

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Reviews

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Frequently Asked Questions

Codestral 2508 by Mistral AI excels in the Coding category, where it ranks #324 with a composite score of 40/100. 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) It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.
Codestral 2508 is priced at $0.30 per million input tokens and $0.90 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.
In the Coding category, Codestral 2508 holds rank #324 out of 378 models tracked. Its quality rank is #324 and adoption rank is #324. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.
Codestral 2508 has been evaluated across 5 different signals. Its strongest areas include Capabilities (50/100), Pricing (99/100), Context Window (86/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.
Codestral 2508 is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Mistral AI's website for current free tier availability and promotional offers.
Codestral 2508 supports a 256K token context window (256,000 tokens total). That translates to roughly 192,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.
Codestral 2508 supports function/tool calling, structured JSON output, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. These capabilities determine which workflows and integrations the model can handle natively.
Codestral 2508 was developed by Mistral AI. It was released on August 1, 2025. You can access it through Mistral AI's API. Check our provider page for all models from Mistral AI and how they compare against each other.
Pick Codestral 2508 when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.
You can access Codestral 2508 through Mistral AI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.

Key Info

ProviderMistral AI
CategoryCoding
LicenseProprietary
Statusstable
Data updated: Aug 10, 2026

Pricing Tools

Pricingper 1M tokens
Best value
90% cheaper than category average
Input
$0.30
-88% vs avg
Output
$0.90
-92% vs avg

Cost Estimator

Input: 70%Output: 30%
Est. monthly cost$4.80
Category average$53.58

You save $48.78/month vs category average

Access & Availability

Hosted APIAvailable
PlaygroundAvailable
Open weightsNo
Hugging FaceNot listed

Why This Rank

+Pricing
~Capabilities
+Context Window
+Recency

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