Mistral · Open weights
Mistral Code Agent Latest
Mistral Code Agent Latest is Mistral's direct API alias for devstral-2512, an agentic coding model built for autonomous software engineering, tool use, and long-running code tasks.
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.40
- Output
- $2.00
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262.1K
- Max output
- 32.8K
- Average output (7 days)
- 316 tokens
- Longer than 34% of 468 models
Side by side
Mistral Code Agent Latest compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Mistral Code Agent LatestMistralThis model | Mistral Small 4 119B ThinkingMistralRemove | |
|---|---|---|
| Provider | Mistral | Mistral |
| Discovery tier | Open weights | Open weights |
| Added | Jun 2, 2026 | Mar 17, 2026 |
| Limits | ||
| Context window | 262.14K | 262.14K |
| Max output | 32.77KBest | 16.38K |
| Average output | 316 tokens | 997 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.40 | $0.40 |
| Output | $2.00 | $1.40Best |
| Performance | ||
| Throughput | — | 126.8 tok/s |
| Time to first token | — | 3.0 s |
| Request success (24h) | 100.0%Best | 95.9% |
| Benchmark indexes | ||
| Intelligence Index | 8.6 | 11.3Best |
| Coding Index | 31.3Best | 26.6 |
| Math Index | 36.7 | — |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | Yes | Yes |
| Vision | No | Yes |
| Structured output | Yes | Yes |
| Reasoning effort | — | none, high |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Mistral Code Agent Latest
- Mistral Small 4 119B Thinking
Intelligence Index
- Mistral Code Agent Latest8.6
- Mistral Small 4 119B Thinking11.3
Mistral Code Agent Latest: Better than 15% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Mistral Code Agent Latest: 31.3Top
- Mistral Small 4 119B Thinking: 26.6
Math Index
Composite of the math evaluations
- Mistral Code Agent Latest: 36.7
- Mistral Small 4 119B Thinking: —
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Mistral Code Agent Latest: 3.1%Top
- Mistral Small 4 119B Thinking: 1.0%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Mistral Code Agent Latest: 0.0%Top
- Mistral Small 4 119B Thinking: 0.0%Top
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Mistral Code Agent Latest: 482 EloTop
- Mistral Small 4 119B Thinking: 241 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Mistral Code Agent Latest: 544 EloTop
- Mistral Small 4 119B Thinking: 362 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Mistral Code Agent Latest: 2.4%Top
- Mistral Small 4 119B Thinking: 0.0%
AA-LCRv1.1
Reasoning across long documents
- Mistral Code Agent Latest: 32.3%
- Mistral Small 4 119B Thinking: 49.7%Top
MLCR-AA
Long-context reasoning over medical records
- Mistral Code Agent Latest: —
- Mistral Small 4 119B Thinking: 1.7%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Mistral Code Agent Latest: 3.6%
- Mistral Small 4 119B Thinking: 9.9%Top
GPQA Diamond
Graduate-level science questions
- Mistral Code Agent Latest: 59.4%
- Mistral Small 4 119B Thinking: 76.9%Top
MMLU-Pro
Multi-subject knowledge and reasoning
- Mistral Code Agent Latest: 76.2%
- Mistral Small 4 119B Thinking: —
IFBench
Following precise output instructions
- Mistral Code Agent Latest: 38.1%
- Mistral Small 4 119B Thinking: 48.2%Top
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Mistral Code Agent Latest: 0.0%Top
- Mistral Small 4 119B Thinking: 0.0%Top
SciCode
Scientific computing in Python
- Mistral Code Agent Latest: 32.8%
- Mistral Small 4 119B Thinking: 38.8%Top
LiveCodeBench
Recent competitive programming problems
- Mistral Code Agent Latest: 44.8%
- Mistral Small 4 119B Thinking: —
Math
AIME 2025
Competition mathematics, 2025 problems
- Mistral Code Agent Latest: 36.7%
- Mistral Small 4 119B Thinking: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Mistral Code Agent Latest: 18.9%Top
- Mistral Small 4 119B Thinking: 17.4%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Mistral Code Agent Latest: 24.9%
- Mistral Small 4 119B Thinking: 41.2%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Mistral Code Agent Latest: 32.3%
- Mistral Small 4 119B Thinking: 49.7%Top
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Request success (24h)
- 100.0%
- Reliable
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistral-code-agent-latest",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="mistral-code-agent-latest",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Mistral
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