Mistral Medium 3
mistral/medium-2505제공: Mistral · 패밀리: mistral-medium · 출시 2025-05-07 · 지식 컷오프: 2025-05
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding46
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)2/20
- Provider availability4/10
Agents54
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability4/10
JSON / structured output45
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume15/20
Cost efficiency53
- Headline price (log-scaled)53/95
- Has prompt-cache pricing0/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Vision81
- Accepts image input50/50
- Context window (10K → 1M)17/30
- Has published price10/10
- Provider availability4/10
Production-readiness78
- Number of independent providers20/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers8/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $3.00 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $6.00 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $1.80 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $5.20 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $6.00 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
가격 상세
추천 가격 제공자: mistral · mistral-medium-2505
가장 저렴한 제공자: github-models · Unknown 입력 + Unknown 출력
4곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Mistral mistral | mistral-medium-2505 | $0.400 | $2.00 | 131K | 2025-05-07 |
| Azure azure | mistral-medium-2505 | $0.400 | $2.00 | 128K | 2025-05-07 |
| Azure Cognitive Services azure-cognitive-services | mistral-medium-2505 | $0.400 | $2.00 | 128K | 2025-05-07 |
| GitHub Models github-models | mistral-ai/mistral-medium-2505 | Unknown | Unknown | 128K | 2025-05-01 |
제공자 간 데이터 불일치
- context_window varies: 128000, 131072
제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.
Frequently asked questions
How much does Mistral Medium 3 cost?
Mistral Medium 3 costs $0.400 per 1M input tokens and $2.00 per 1M output tokens, sourced from mistral. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Mistral Medium 3?
Mistral Medium 3 has a context window of 131K tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.
Does Mistral Medium 3 support tool calling?
Yes. Mistral Medium 3 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Mistral Medium 3 support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Mistral Medium 3 in our data source. Verify with Mistral's official documentation before relying on it in production.
Can Mistral Medium 3 accept image input?
Yes. Mistral Medium 3 accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Mistral's docs for the exact rule.
Is Mistral Medium 3 open-weight?
No. Mistral Medium 3 is a proprietary model — only Mistral (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Mistral Medium 3?
If Mistral Medium 3 doesn't fit, consider Mistral Nemo Instruct 2407, Mistral Nemo, Mistral Large 2.1. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More Mistral models
- Mistral Nemo Instruct 2407$0.02 in / $0.04 out
- Mistral Nemo$0.15 in / $0.15 out
- Mistral Large 2.1$2.00 in / $6.00 out
- Mistral Large 3$0.50 in / $1.50 out
- Mistral Small 3.2 24B Instruct (2506)$0.10 in / $0.31 out
Capability lists this model is in
마지막 업데이트:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.