Mistral AI · Codestral
Codestral 22B
Codestral 22B is a 22B code-generation model available through supported Badgr execution routes.
Last validated or meaningfully updated: 2026-07-27
Availability
✓ Badgr AI API
Available through Badgr
Not yet Dedicated endpoint
Not currently validated
Not yet Custom GPU deployment
Not currently validated
Deployment profile
- Architecture
- MistralForCausalLM
- Licence
- MNPL
- Minimum VRAM
- ~48GB
- Context
- 32K tokens
Recommended: L40S 48GB. VRAM is an estimate and increases with context, cache, concurrency, and runtime overhead.
Model identity
- Languages
- code
- Updated
- 1 years ago
- HuggingFace revision
- 28b1c1a51d
Popularity and trust
Downloads (last month)
39.3K
Likes
1.3K
Spaces using this model
46
Files and formats
Weight formats
Safetensors
Repository files
21
Tokenizer
SentencePiece
Chat template
Available
GPU deployment scenarios
Estimated from parameter count and quantisation. Will switch to “Verified by Badgr” once a real run backs a tier.
Testing
L40S 48GB
Short context, low concurrency
Small production
A100 80GB
8K context, 1-4 concurrent requests
Higher throughput
H100 80GB
32K context, continuous batching
Large production
L40S 48GB
Higher concurrency
Estimated — multimodal inputs, long context, and concurrency all increase real VRAM use beyond this estimate.
Also runs well on A100 80GB, H100 80GB. Available in United States, Europe, Asia Pacific.
Serving compatibility
| Runtime | Status | Notes |
|---|---|---|
| vLLM | Declared by source | Used for Badgr dedicated endpoints |
| Transformers | Unknown | Basic fallback |
| llama.cpp | Requires GGUF conversion | No GGUF weights found in repo |
| SGLang | Unknown | Not evaluated |
| TensorRT-LLM | Unknown | Conversion may be required |
| TGI | Unknown | Not evaluated |
Call this model through Badgr
curl https://api.aibadgr.com/v1/chat/completions \
-H "Authorization: Bearer $BADGR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"mistralai/Codestral-22B-v0.1","messages":[{"role":"user","content":"Hello"}]}'Estimated pricing
Provider estimate: cold start
3–6 min
Provider estimate: endpoint cost
$0.99 – $1.00/hr
Idle cost
$0 when stopped
Per-token throughput cost is not shown here: Badgr has not benchmarked this model yet, and this page does not display figures it cannot back with real data.
Recommended Badgr routes
L40S 48GB · United States
Availablefrom $0.99/hr
Best for
ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct
Startup: 3–6 min
Reliability: Good
Last checked: just now
L40S 48GB · Europe
Availablefrom $0.99/hr
Best for
ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct
Startup: 3–6 min
Reliability: Good
Last checked: just now
L40S 48GB · Asia Pacific
Availablefrom $0.99/hr
Best for
ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct
Startup: 3–6 min
Reliability: Good
Last checked: just now
L40S 48GB · United States
Availablefrom $1.00/hr
Best for
ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct
Startup: 3–6 min
Reliability: Good
Last checked: just now
L40S 48GB · United States
Availablefrom $1.00/hr
Best for
ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct
Startup: 3–6 min
Reliability: Good
Last checked: just now
L40S 48GB · Europe
Availablefrom $1.00/hr
Best for
ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct
Startup: 3–6 min
Reliability: Good
Last checked: just now
Known limitations
- Memory use increases with context length and concurrency.