Great value for code completion and implementation tasks
Faster and much cheaper than premium coding models
Strong fit for engineering teams scaling API usage
Weaknesses
Weaker on non-technical writing and nuanced strategy work
Grok 4 now offers stronger coding with a 2M context at only $2/$6
Real-world use cases
What people actually use Codestral 25.01 for.
High-volume code completions and tab-stop suggestions in IDEs at low cost
Automated code review and refactoring suggestions for engineering teams at scale
Coding pipelines where premium model quality is overkill and cost efficiency matters
How Codestral 25.01 compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-5.6 Luna — Against GPT-5.6 Luna (OpenAI), Codestral 25.01 costs about 61% more per token, gives up 4.1x on context and answers faster. GPT-5.6 Luna is the one to check first if the price difference matters more than the ceiling.
vs DeepSeek V4-Pro — Against DeepSeek V4-Pro (DeepSeek), Codestral 25.01 costs about 64% more per token, gives up 3.9x on context and answers faster. DeepSeek V4-Pro is the one to check first if the price difference matters more than the ceiling.
vs DeepSeek V4-Flash — Against DeepSeek V4-Flash (DeepSeek), Codestral 25.01 costs about 88% more per token, gives up 3.9x on context and answers faster. DeepSeek V4-Flash is the one to check first if the price difference matters more than the ceiling.
Price History
Codestral 25.01 pricing over time
→0% since May 30
90 data points · tracked daily since May 30, 2026
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Start using Codestral 25.01
Affordable high-volume coding support. Start free — no card required.
DeepSeek's 1.6T-parameter (49B active) MoE flagship with hybrid sparse attention — near-frontier coding and reasoning at roughly a tenth of closed-rival pricing, MIT-licensed open weights.
Verdict
Best open-weights flagship — near-frontier coding at a tenth of the price.
Quality score
82%
Pricing
$0.43/1M in
$0.87/1M out
Speed
Balanced
3/5 speed
Context
1M tokens
Open-weight preview April 24; GA ~July 20, 2026. Off-peak pricing verified on api-docs.deepseek.com; Beijing-business-hours surge doubles it. Legacy deepseek-chat/reasoner endpoints retired July 24, 2026.
A 284B-parameter (13B active) MoE workhorse re-post-trained for agentic and coding tasks — beats the V4-Pro preview on every published agent benchmark at ultra-commodity pricing.
Verdict
Best agentic capability per dollar in the directory.
Quality score
76%
Pricing
$0.14/1M in
$0.28/1M out
Speed
Fast
4/5 speed
Context
1M tokens
Official V4-Flash-0731 release July 31, 2026; weights on Hugging Face, API in public beta. Only DeepSeek model supporting the Responses API. DeepSeek has warned of a future price increase.
Codestral 25.01 costs $0.9 per million input tokens and $2.7 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $14.40 at list price, before any batch or caching discounts.
What is Codestral 25.01 best for?
Codestral 25.01 is best for affordable high-volume coding support. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
When should I avoid Codestral 25.01?
You need a single model that also handles writing or deep document synthesis.
What is a cheaper alternative to Codestral 25.01?
DeepSeek V4-Pro (DeepSeek) at $0.43/1M/1M input against Codestral 25.01's $0.90/1M/1M — roughly 64% less per token all in. Best open-weights flagship — near-frontier coding at a tenth of the price. Compare it first if Codestral 25.01's pricing is the thing stopping you.
What is a faster alternative to Codestral 25.01?
GPT-5.6 Luna — fast against Codestral 25.01's very fast, with 1.1M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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