A genuinely specialized, budget-friendly coding model that earns its place in any developer's API toolkit.
84
Coding
52
Writing
58
Research
0
Images
88
Value
70
Long Context
Use this when
Developers seeking capable code generation, debugging, and code review at a fraction of the cost of GPT-4-class models.
Strengths
Exceptional price-to-performance ratio for coding tasks at $0.40/$2.00 per 1M tokens
Purpose-built for software development with strong multi-language code generation
128K context window accommodates large codebases and multi-file refactoring
Competitive with mid-tier coding models like GPT-4o Mini on structured code tasks
Weaknesses
Limited multimodal capability — no image understanding, purely text/code focused
Monthly cost estimate
See what Mistral: Devstral Medium actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.400
Output cost
$1.00
Total / month
$1.40
Based on Mistral: Devstral Medium API pricing: $0.39999999999999997/1M input · $2/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
Mistral: Devstral Medium pricing over time
→0% since May 9
4 data points · tracked daily since May 9, 2026
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Developers seeking capable code generation, debugging, and code review at a fraction of the cost of GPT-4-class models.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
Similar models worth checking before you commit.
MistralBudget
Mistral: Devstral 2 2512
Devstral 2 2512 is Mistral's second-generation code-specialized model, built specifically for software development tasks with a 256K context window. It targets developers needing a cost-efficient coding assistant without sacrificing meaningful capability.
Verdict
A purpose-built coding workhorse that punches well above its price tag for development teams running high-volume or agentic pipelines.
Quality score
55%
Pricing
$0.40/1M in
$2.00/1M out
Speed
Change history
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Mistral: Devstral Medium — added to UseRightAI
Mistral: Devstral Medium (Mistral) is now indexed. A genuinely specialized, budget-friendly coding model that earns its place in any developer's API toolkit.
Mistral: Devstral Medium is best for developers seeking capable code generation, debugging, and code review at a fraction of the cost of gpt-4-class models.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and balanced speed.
When should I avoid Mistral: Devstral Medium?
You need multimodal inputs, advanced reasoning over complex documents, or high-quality long-form prose writing.
What is a cheaper alternative to Mistral: Devstral Medium?
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to Mistral: Devstral Medium?
Mistral: Devstral 2 2512 is the better pick when response time matters more than maximum depth or premium quality.
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Skip this if
You need multimodal inputs, advanced reasoning over complex documents, or high-quality long-form prose writing.
Weaker on open-ended creative writing or nuanced reasoning compared to Claude Sonnet 4.6
Smaller ecosystem and tooling support compared to OpenAI or Anthropic offerings
Fast
Best for budget-conscious developers who need a capable coding model for agentic workflows, code generation, and repository-scale context at a fraction of flagship pricing.
Context
262k tokens
The December 2025 (2512) release date suggests this is a recent iteration. Pricing at $0.40 input / $2.00 output is notably competitive for a code-specialist model with 256K context. Verify availability and rate limits via Mistral API or partner providers.
Code-specialistBudgetLong contextAgenticMistral
Best for
Budget-conscious developers who need a capable coding model for agentic workflows, code generation, and repository-scale context at a fraction of flagship pricing.
Mistral Large 3 2512 is Mistral's flagship dense model updated in December 2025, offering strong multilingual reasoning and coding capabilities at a significantly reduced price point compared to its predecessor. It targets enterprise workloads that need high-quality outputs without paying top-tier frontier model prices.
Verdict
The best price-per-quality ratio in the non-mini flagship tier, especially for multilingual and long-context enterprise tasks.
Quality score
69%
Pricing
$2.00/1M in
$6.00/1M out
Speed
Balanced
Best for multilingual enterprise tasks, code generation, and long-document analysis where cost efficiency matters more than absolute state-of-the-art performance.
Context
262k tokens
Pricing of $0.50 input / $1.50 output per 1M tokens places it firmly in the budget-flagship category. Available via Mistral API (La Plateforme) and major cloud providers. December 2025 update ('2512') improves instruction following over the earlier 2407 release.
Multilingual enterprise tasks, code generation, and long-document analysis where cost efficiency matters more than absolute state-of-the-art performance.
Mistral Medium 3 is a mid-tier model from Mistral AI that punches above its weight class, officially superseding Mistral Large 2 while costing a fraction of the price. It targets teams needing capable multilingual and coding performance without flagship-level spend.
Verdict
The most capable budget model Mistral has shipped — a smart default for high-volume teams that need real performance without flagship pricing.
Quality score
67%
Pricing
$0.40/1M in
$2.00/1M out
Speed
Fast
Best for cost-conscious teams running high-volume coding, summarization, or multilingual tasks at enterprise scale.
Context
131k tokens
Priced at $0.40 input / $2.00 output per 1M tokens. Officially supersedes Mistral Large 2, making it an easy drop-in upgrade for existing Mistral users. Available via Mistral's API and La Plateforme.
BudgetMultilingualCodingHigh VolumeMid-Tier
Best for
Cost-conscious teams running high-volume coding, summarization, or multilingual tasks at enterprise scale.