Codestral 25.08 vs Mixtral 8x22B: Which is Better in 2026?
A comprehensive comparison of Codestral 25.08 and Mixtral 8x22B covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Codestral 25.08 if:
- →You want more affordable paid plans (from $0.3/mo)
- →You need a broader feature set (10 features vs 8)
- →You need fill-in-the-middle (fim) support for inline ide code completion or 256k token context window for large codebases
Choose Mixtral 8x22B if:
- →You need 141b total parameters, ~39b active per token (8 expert groups of 22b, 2 routed per token) or 64,536 token context window
ChatGPT already recommends Codestral 25.08 or Mixtral 8x22B. Does it recommend yours?
If you're building an AI tool, run a free AI-visibility scan on your own product — we ask ChatGPT across 5 prompt angles and score how often you get named. ~30 seconds, no signup, no card.
Codestral 25.08 vs Mixtral 8x22B: At a Glance
Pricing Comparison: Codestral 25.08 vs Mixtral 8x22B
Understanding the pricing differences between Codestral 25.08 and Mixtral 8x22B is crucial for making the right choice. Here's how their plans compare side by side.
Codestral 25.08 Pricing
Mixtral 8x22B Pricing
💡 Pricing takeaway: Both Codestral 25.08 and Mixtral 8x22B offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Codestral 25.08 and Mixtral 8x22B stacks up.
What Makes Each Tool Unique
🔵 Unique to Codestral 25.08
Features available in Codestral 25.08 but not in Mixtral 8x22B:
- ✓Fill-in-the-middle (FIM) support for inline IDE code completion
- ✓256k token context window for large codebases
- ✓80+ programming language support
- ✓Low-latency inference optimized for real-time completion
- ✓Code correction and bug-fix generation
- ✓Test generation from function signatures and docstrings
- ✓Native integrations: VS Code (Continue.dev), JetBrains, Jupyter, neovim, Emacs
- ✓Model ID: codestral-latest / codestral-25-08
- ✓$0.3/M input · $0.9/M output
- ✓Successor to Codestral 25.01 with improved FIM accuracy and multi-language performance
🟣 Unique to Mixtral 8x22B
Features available in Mixtral 8x22B but not in Codestral 25.08:
- ✓141B total parameters, ~39B active per token (8 expert groups of 22B, 2 routed per token)
- ✓64,536 token context window
- ✓Function calling and JSON mode support
- ✓Multilingual: English, French, German, Italian, Spanish
- ✓Apache 2.0 license — free for commercial use, modification, redistribution
- ✓State-of-the-art open-weight reasoning at launch — beats LLaMA 3 70B and GPT-3.5 on MATH, HumanEval, MMLU
- ✓Efficient inference: ~39B active params means faster throughput than a dense 141B model
- ✓Compatible with vLLM, llama.cpp, TGI, Ollama, and other inference frameworks
Use Case Recommendations
Best for: Codestral 25.08
Mistral's dedicated code completion model, updated August 2025. Optimized for low-latency, high-frequency coding tasks — fill-in-the-middle (FIM), inline completion, code correction, and test generation. Supports 80+ programming languages. 256k context window. API: $0.3/M input, $0.9/M output. Integrates natively with VS Code, JetBrains, Jupyter, neovim, and Emacs.
Ideal use cases:
- •Teams or individuals who need fill-in-the-middle (fim) support for inline ide code completion
- •Teams or individuals who need 256k token context window for large codebases
- •Teams or individuals who need 80+ programming language support
- •Teams or individuals who need low-latency inference optimized for real-time completion
- •Anyone focused on mistral workflows
- •Anyone focused on llm workflows
Best for: Mixtral 8x22B
Mistral AI's largest open-weights mixture-of-experts model, released April 17, 2024. Mixtral 8x22B uses a sparse MoE architecture with 141B total parameters and ~39B active per token (8 groups of 22B, routing 2 experts per token). At launch it was the strongest open-weight model on reasoning, math, and coding benchmarks — outperforming LLaMA 3 70B and GPT-3.5 Turbo on most tasks. Supports 64k token context, natively multilingual (English, French, German, Italian, Spanish), with function calling and JSON mode. Weights released under Apache 2.0 on Hugging Face.
Ideal use cases:
- •Teams or individuals who need 141b total parameters, ~39b active per token (8 expert groups of 22b, 2 routed per token)
- •Teams or individuals who need 64,536 token context window
- •Teams or individuals who need function calling and json mode support
- •Teams or individuals who need multilingual: english, french, german, italian, spanish
- •Anyone focused on mistral workflows
- •Anyone focused on mixtral workflows
🔧 Other llm-apis Tools to Consider
Codestral 25.08 and Mixtral 8x22B aren't the only options. Here are other popular tools in the same space:
Claude Opus 4.8
Anthropic's flagship model — stronger coding, agents, and honesty
Mistral Small 4
Mistral's unified open-source model — reasoning + vision + coding, Apache 2.0
Mistral Small 3.1
Mistral's 24B multimodal open-source model — beats GPT-4o Mini, Apache 2.0
Mistral Small 3
Mistral's 24B latency-optimized open model — faster than Llama 3.3 70B, Apache 2.0
Mistral Medium 3.5
Mistral's 128B merged flagship — open weights, coding+reasoning+instructions
Mistral 3
Mistral's MoE flagship + edge model family — Apache 2.0, multimodal, reasoning
Is one of these your tool?
This page ranks for "Codestral 25.08 vs Mixtral 8x22B" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing to get a Featured badge, top placement in your category, and a permanent dofollow backlink — from $19/mo, cancel anytime.
Frequently Asked Questions
Is Codestral 25.08 better than Mixtral 8x22B?
It depends on your needs. Codestral 25.08 offers 10 key features including Fill-in-the-middle (FIM) support for inline IDE code completion and 256k token context window for large codebases, while Mixtral 8x22B provides 8 features including 141B total parameters, ~39B active per token (8 expert groups of 22B, 2 routed per token) and 64,536 token context window. Codestral 25.08 uses a paid model with a free tier, while Mixtral 8x22B is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Codestral 25.08 cheaper than Mixtral 8x22B?
Codestral 25.08 is cheaper, starting at $0.3/month compared to Mixtral 8x22B's $2/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Codestral 25.08 and Mixtral 8x22B together?
Yes, many users combine Codestral 25.08 and Mixtral 8x22B in their workflow. Codestral 25.08 excels at fill-in-the-middle (fim) support for inline ide code completion, while Mixtral 8x22B shines with 141b total parameters, ~39b active per token (8 expert groups of 22b, 2 routed per token). Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Codestral 25.08 and Mixtral 8x22B?
While both are llm-apis tools, Codestral 25.08 emphasizes fill-in-the-middle (fim) support for inline ide code completion, whereas Mixtral 8x22B is known for 141b total parameters, ~39b active per token (8 expert groups of 22b, 2 routed per token). The best choice depends on your specific workflow and feature priorities.
Learn More
📬 Get the best new AI tools delivered weekly
One concise email with fresh launches, trending picks, and featured standouts.