DeepSeek V4 Pro 0813 vs Mistral Large 4
Too close to call on our weighted score (Mistral Large 4 67, DeepSeek V4 Pro 0813 67). The right pick depends on what you value most.
DeepSeekDeepSeek V4 Pro 0813
67/100- ECI155.9
- Price$0.66 / $1.98
- Context1M
Mistral AIMistral Large 4
67/100- ECI150.6
- Price$0.70 / $2.10
- Context1.05M
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Mistral Large 4 67/100, DeepSeek V4 Pro 0813 67/100), so choose by what matters most for your work: DeepSeek V4 Pro 0813 for raw capability and Mistral Large 4 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityDeepSeek V4 Pro 0813Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.9 · Mistral Large 4 150.6
- Lowest priceDeepSeek V4 Pro 0813DeepSeek V4 Pro 0813 $0.99 · Mistral Large 4 $1.05 per 1M tokens (3:1 blend)
- Longest contextMistral Large 4Mistral Large 4 1,048,576 · DeepSeek V4 Pro 0813 1,000,000 tokens
- Widest inputsMistral Large 4DeepSeek V4 Pro 0813: Text · Mistral Large 4: Text, Images
- Self-hostingDeepSeek V4 Pro 0813Publishes downloadable weights (MIT)
| Measure | Weight | DeepSeek V4 Pro 0813 | Mistral Large 4 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 84 | 77 |
| Price | 25% | 48 | 47 |
| Inputs & features | 15% | 45 | 70 |
| Context window | 10% | 60 | 61 |
| Overall | 100% | 67/100 | 67/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek V4 Pro 0813DeepSeek | Mistral Large 4Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 155.9 (best) | 150.6 |
| ECI rank | #35 of 165 (best) | #57 of 165 |
| GPQA DiamondGraduate-level science questions | 91.7% (best) | 88.1% |
| FrontierMath Tiers 1–3Research-level mathematics | 64.6% (best) | 58.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 98.6% (best) | 98.3% |
| SimpleQA VerifiedShort factual questions | 52.9% (best) | 20.0% |
| Price per million tokens | ||
| Input | $0.66 (best) | $0.70 |
| Output | $1.98 (best) | $2.10 |
| Cached input | $0.022 (best) | $0.07 |
| Blended (3:1) | $0.99 (best) | $1.05 |
| Long-context rate | Same rate | Same rate |
| Price source | Official DeepSeek API | Official Mistral API |
| Limits | ||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) |
| Max output | 384,000 tokens (best) | 262,144 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · high · max | Yeslow · medium · high |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | OpenMIT | Proprietary |
| API model ID | deepseek-v4-pro | mistral-large-4 |
| API providers | 40 (best) | 15 |
| Released | Aug 13, 2026 | Oct 6, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- DeepSeek V4 Pro 0813$10.56
- Mistral Large 4$11.20
Which should you choose?
Which is better: DeepSeek V4 Pro 0813 or Mistral Large 4?
It is close. Our weighted score puts them within a point (Mistral Large 4 67/100, DeepSeek V4 Pro 0813 67/100), so choose by what matters most for your work: DeepSeek V4 Pro 0813 for raw capability and Mistral Large 4 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek V4 Pro 0813 or Mistral Large 4?
DeepSeek V4 Pro 0813 is cheaper at $0.66 input / $1.98 output per million tokens (official DeepSeek API price). Mistral Large 4 costs $0.70 input / $2.10 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.99 per million tokens for DeepSeek V4 Pro 0813 versus $1.05 for Mistral Large 4 (1.1× as much).
Which scores higher on benchmarks?
DeepSeek V4 Pro 0813 scores higher on the Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.9 (#35 of 165) and Mistral Large 4 150.6 (#57 of 165). Their confidence ranges do not overlap (154.2–158.1 vs 147.4–153.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — DeepSeek V4 Pro 0813 91.7%, Mistral Large 4 88.1%; FrontierMath Tiers 1–3 — DeepSeek V4 Pro 0813 64.6%, Mistral Large 4 58.6%; OTIS Mock AIME 2024–2025 — DeepSeek V4 Pro 0813 98.6%, Mistral Large 4 98.3%; SimpleQA Verified — DeepSeek V4 Pro 0813 52.9%, Mistral Large 4 20.0%.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek V4 Pro 0813 and Mistral Large 4 yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4 Pro 0813 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?
Mistral Large 4 has the largest context window at 1,048,576 tokens, against 1,000,000 for DeepSeek V4 Pro 0813. Maximum output per response: DeepSeek V4 Pro 0813 up to 384,000, Mistral Large 4 up to 262,144 tokens.
Which can read images, PDFs, audio or video?
DeepSeek V4 Pro 0813 accepts text; Mistral Large 4 accepts text and images. Mistral Large 4 handles the widest range of inputs.
Are any of these open source?
DeepSeek V4 Pro 0813 publishes its weights (MIT) and can be self-hosted; Mistral Large 4 is proprietary.
Which is newer?
Mistral Large 4 is the newest, released Oct 6, 2026. DeepSeek V4 Pro 0813 came out Aug 13, 2026.
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 Nov 2, 2026.
Related comparisons
- Add Gemini 3.6 FlashThree-way comparison
- DeepSeek V4 Pro 0813 vs Gemini 3.6 FlashGoogle · ECI 154.7
- DeepSeek V4 Pro 0813 vs GLM-5.3Z.ai (Zhipu) · ECI 156.2
- DeepSeek V4 Pro 0813 vs Muse Spark 1.2Meta · ECI 155.2
- DeepSeek V4 Pro 0813 vs Qwen3.8 27BAlibaba (Qwen) · ECI 151.8
- Mistral Large 4 vs Inkling SmallThinking Machines · ECI 150.5
- Mistral Large 4 vs Qwen3.8 27BAlibaba (Qwen) · ECI 151.8
