DeepSeek V3 0324 vs Mistral Medium 3
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.
DeepSeekDeepSeek V3 0324
54/100- ECI135.9
- Price$0.24 / $0.90
- Context164K
Mistral AIMistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
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 3DeepSeek V3 0324: Text · Mistral Medium 3: Text, Images
- Self-hostingDeepSeek V3 0324Publishes downloadable weights
| Measure | Weight | DeepSeek V3 0324 | Mistral Medium 3 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 60 | 58 |
| Price | 25% | 68 | 54 |
| Inputs & features | 15% | 25 | 50 |
| Context window | 10% | 28 | 24 |
| Overall | 100% | 54/100 | 53/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek V3 0324DeepSeek | Mistral Medium 3Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 135.9 (best) | 134.1 |
| ECI rank | #114 of 148 (best) | #117 of 148 |
| GPQA DiamondGraduate-level science questions | 67.6% (best) | 59.5% |
| OTIS Mock AIME 2024–2025Competition mathematics | 37.8% (best) | 32.2% |
| Price per million tokens | ||
| Input | $0.24 (best) | $0.40 |
| Output | $0.90 (best) | $2.00 |
| Cached input | — | — |
| Blended (3:1) | $0.405 (best) | $0.80 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 5 providers | Official Mistral API |
| Limits | ||
| Context window | 163,840 tokens (best) | 131,072 tokens |
| Max output | 163,840 tokens (best) | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | mistral-medium-2505 |
| API providers | 5 | 5 |
| Released | Mar 24, 2025 | May 7, 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.
- DeepSeek V3 0324$4.20
- Mistral Medium 3$8.00
Which should you choose?
Which is better: DeepSeek V3 0324 or Mistral Medium 3?
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, DeepSeek V3 0324 or Mistral Medium 3?
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 DeepSeek V3 0324 and Mistral Medium 3 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: DeepSeek V3 0324 up to 163,840, Mistral Medium 3 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
DeepSeek V3 0324 accepts text; Mistral Medium 3 accepts text and images. 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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