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devstral-medium-latest

Mistral · chat model

devstral-medium-latest is listed here as a chat model from Mistral. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.4000 / 1M tokens
Output
$2.0000 / 1M tokens
Cached input
N/A
Context
256.0K

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$0.4000 / 1M tokens
Output
$2.0000 / 1M tokens
Embedding
$0.4000 / 1M tokens

Token limits

Context window
256.0K
Max input tokens
256.0K
Max output tokens
256.0K
Max tokens
256.0K

Capabilities

Capability Supported
Vision
Function calling
Parallel function calling
Tool choice
Prompt caching
Reasoning
Response schema
System messages
Audio input
Audio output
Web search
PDF input
Video input

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
SWE-bench Verified 46.8% SWE-Bench Verified Base model: Devstral (devstral-small-2505) 2026-05-31 Link
SWE-bench Verified 53.6% SWE-Bench Verified Base model: Devstral (devstral-small-2507) 2026-05-31 Link
SWE-bench Verified 68.0% score Base model: Devstral (mistralai/Devstral-Small-2-24B-Instruct-2512) 2026-05-31 Link
SWE-bench Multilingual 55.7% score Base model: Devstral (mistralai/Devstral-Small-2-24B-Instruct-2512) 2026-05-31 Link
Terminal-Bench 2.0 22.5% score Base model: Devstral (mistralai/Devstral-Small-2-24B-Instruct-2512) 2026-05-31 Link
SWE-bench Verified 72.2% score Base model: Devstral (Devstral 2) 2026-05-31 Link
SWE-bench Multilingual 61.3% score Base model: Devstral (Devstral 2) 2026-05-31 Link
Terminal-Bench 2.0 32.6% score Base model: Devstral (Devstral 2) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Docs

Official docs

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
devstral-medium-latest
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
devstral-latest
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Same provider
Overall 100%
devstral-2512
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Same provider
Overall 100%
devstral-medium-2507
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
128.0K
Same provider
Overall 93%
codestral-2508
Mistral
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Same provider
Overall 92%
minimax-m2p1
fireworks_ai
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
204.8K
Text covered
Overall 90%
minimax-m2p1
fireworks_ai
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
204.8K
Text covered
Overall 90%
devstral-small-latest
Mistral
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Same provider
Overall 84%
labs-devstral-small-2512
Mistral
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Same provider
Overall 84%
kimi-k2-instruct-0905
fireworks_ai
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
32.8K
Text covered
Overall 82%
kimi-k2-instruct
fireworks_ai
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
16.4K
Text covered
Overall 81%
mixtral-8x22b-instruct-hf
fireworks_ai
In $1.2000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
65.5K
Text covered
Overall 78%
llama-v3p1-405b-instruct
fireworks_ai
In $3.0000 / 1M tokens
Out $3.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
16.4K
Text covered
Overall 74%
firefunction-v2
fireworks_ai
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
8.2K
Text covered
Overall 74%
mistral-medium-2505
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text image
Output: text
Function callingTool choiceResponse schema
8.2K
Same provider
Overall 73%
mistral-medium-2505
azure_ai
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text image
Output: text
Function callingTool choice
8.2K
Text covered
Overall 65%
mistral.devstral-2-123b
bedrock_converse
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text image
Output: text
Function callingTool choice
8.2K
Text covered
Overall 61%
GLM-4.7-FP8
gmi
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: unknown
Low overlap
16.4K
Partial I/O overlap
Overall 21%
Missing text