CodestralvsMixtral 8x22B
Mistral AI vs Mistral AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Codestral | Mixtral 8x22B |
|---|---|---|
| Provider | ||
| Arena Rank | — | #16 |
| Context Window | 32K | 64K |
| Input Pricing | $0.30/1M tokens | $0.90/1M tokens |
| Output Pricing | $0.90/1M tokens | $2.70/1M tokens |
| Parameters | 22B | 176B (39B active) |
| Open Source | No | Yes |
| Best For | Code generation, code completion, debugging | Efficient reasoning, multilingual, coding |
| Release Date | May 29, 2024 | Apr 17, 2024 |
Codestral
Codestral, developed by Mistral AI, is a specialized code model with 22 billion parameters and a 32K token context window trained on over 80 programming languages. The model is optimized specifically for software development tasks including code completion, generation, refactoring, documentation, and test writing. Unlike general-purpose models, Codestral's focused training delivers stronger performance on code-specific tasks, particularly fill-in-the-middle completion for IDE integration. It features low-latency inference suitable for real-time autocomplete in development environments. Priced at $0.30 per million input tokens and $0.90 per million output tokens. Codestral powers coding assistants and integrates with popular development tools including VS Code and JetBrains IDEs. Its specialized architecture achieves competitive scores on HumanEval and MBPP benchmarks, rivaling much larger general-purpose models on coding tasks.
View Mistral AI profile →Mixtral 8x22B
Mixtral 8x22B, developed by Mistral AI, is a large Mixture-of-Experts model with 176 billion total parameters (39 billion active per token) and a 64K token context window. The model scales the MoE architecture to deliver stronger reasoning, coding, and multilingual performance while maintaining the efficiency advantages of sparse expert routing. It supports function calling and structured outputs for production agentic workflows. Free and open-source, Mixtral 8x22B can be deployed on enterprise GPU infrastructure for organizations requiring powerful, self-hosted AI. Priced at $0.90 per million input tokens through API providers. The model demonstrates competitive performance with proprietary models at significantly lower operational cost due to its efficient architecture. Mixtral 8x22B ranks #16 on the Chatbot Arena leaderboard, confirming strong capability for an open-weight MoE model.
View Mistral AI profile →Key Differences: Codestral vs Mixtral 8x22B
Codestral is 3.0x cheaper on average, making it the better choice for high-volume applications.
Mixtral 8x22B supports a larger context window (64K), allowing it to process longer documents in a single request.
Mixtral 8x22B is open-source (free to self-host and fine-tune) while Codestral is proprietary (API-only access).
Codestral has 22B parameters vs Mixtral 8x22B's 176B (39B active), which affects inference speed and capability.
When to use Codestral
- +Budget is a concern and you need cost efficiency
- +You prefer a managed API without infrastructure overhead
- +Your use case involves code generation, code completion, debugging
When to use Mixtral 8x22B
- +Quality matters more than cost
- +You need to process long documents (64K context)
- +You need to self-host or fine-tune the model
- +Your use case involves efficient reasoning, multilingual, coding
Cost Analysis
At current pricing, Codestral is 3.0x more affordable than Mixtral 8x22B. For a typical enterprise workload processing 100M tokens per month:
Codestral monthly cost
$60
100M tokens/mo (50/50 in/out)
Mixtral 8x22B monthly cost
$180
100M tokens/mo (50/50 in/out)
The Verdict
Mixtral 8x22B wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for efficient reasoning, multilingual, coding, though Codestral holds an edge in code generation, code completion, debugging. If cost is your primary concern, Codestral offers better value.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages