Mistral Medium 3 vs DeepSeek V3 0324
Too close to call on our weighted score (DeepSeek V3 0324 54, Mistral Medium 3 53). The right pick depends on what you value most.
Mistral AIMistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
DeepSeekDeepSeek V3 0324
54/100- ECI135.9
- Price$0.24 / $0.90
- Context164K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 1 points (DeepSeek V3 0324 54/100, Mistral Medium 3 53/100), so choose by what matters most for your work: DeepSeek V3 0324 for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityDeepSeek V3 0324Capabilities Index (ECI): DeepSeek V3 0324 135.9 · Mistral Medium 3 134.1
- Lowest priceDeepSeek V3 0324DeepSeek V3 0324 $0.405 · Mistral Medium 3 $0.80 per 1M tokens (3:1 blend)
- Longest contextDeepSeek V3 0324DeepSeek V3 0324 163,840 · Mistral Medium 3 131,072 tokens
- Widest inputsMistral Medium 3Mistral Medium 3: Text, Images · DeepSeek V3 0324: Text
- Self-hostingDeepSeek V3 0324Publishes downloadable weights
| Measure | Weight | Mistral Medium 3 | DeepSeek V3 0324 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 58 | 60 |
| Price | 25% | 54 | 68 |
| Inputs & features | 15% | 50 | 25 |
| Context window | 10% | 24 | 28 |
| Overall | 100% | 53/100 | 54/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral Medium 3Mistral AI | DeepSeek V3 0324DeepSeek |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 134.1 | 135.9 (best) |
| ECI rank | #117 of 148 | #114 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 59.5% | 67.6% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 32.2% | 37.8% (best) |
| Price per million tokens | ||
| Input | $0.40 | $0.24 (best) |
| Output | $2.00 | $0.90 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.80 | $0.405 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 5 providers |
| Limits | ||
| Context window | 131,072 tokens | 163,840 tokens (best) |
| Max output | 131,072 tokens | 163,840 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | mistral-medium-2505 | — |
| API providers | 5 | 5 |
| Released | May 7, 2025 | Mar 24, 2025 |
| Knowledge cutoff | May 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral Medium 3$8.00
- DeepSeek V3 0324$4.20
Which should you choose?
Which is better: Mistral Medium 3 or DeepSeek V3 0324?
It is close. Our weighted score puts them within 1 points (DeepSeek V3 0324 54/100, Mistral Medium 3 53/100), so choose by what matters most for your work: DeepSeek V3 0324 for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Medium 3 or DeepSeek V3 0324?
DeepSeek V3 0324 is cheaper at $0.24 input / $0.90 output per million tokens (median across 5 API providers). Mistral Medium 3 costs $0.40 input / $2.00 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.405 per million tokens for DeepSeek V3 0324 versus $0.80 for Mistral Medium 3 (2× as much).
Which scores higher on benchmarks?
DeepSeek V3 0324 scores higher on the Capabilities Index (ECI): DeepSeek V3 0324 135.9 (#114 of 148) and Mistral Medium 3 134.1 (#117 of 148). The confidence ranges of the top two overlap (132.4–138.0 vs 130.5–135.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — DeepSeek V3 0324 67.6%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — DeepSeek V3 0324 37.8%, Mistral Medium 3 32.2%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Medium 3 and DeepSeek V3 0324 yet, so there is no like-for-like coding score. On overall capability, DeepSeek V3 0324 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
DeepSeek V3 0324 has the largest context window at 163,840 tokens, against 131,072 for Mistral Medium 3. Maximum output per response: Mistral Medium 3 up to 131,072, DeepSeek V3 0324 up to 163,840 tokens.
Which can read images, PDFs, audio or video?
Mistral Medium 3 accepts text and images; DeepSeek V3 0324 accepts text. Mistral Medium 3 handles the widest range of inputs.
Are any of these open source?
DeepSeek V3 0324 publishes its weights and can be self-hosted; Mistral Medium 3 is proprietary.
Which is newer?
Mistral Medium 3 is the newest, released May 7, 2025. DeepSeek V3 0324 came out Mar 24, 2025. Knowledge cutoff: Mistral Medium 3 May 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
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