Mistral Large 4 vs DeepSeek V4 Pro 0813

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%.

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).

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%.

There are no published SWE-bench Verified results for Mistral Large 4 and DeepSeek V4 Pro 0813 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.

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: Mistral Large 4 up to 262,144, DeepSeek V4 Pro 0813 up to 384,000 tokens.

Mistral Large 4 accepts text and images; DeepSeek V4 Pro 0813 accepts text. Mistral Large 4 handles the widest range of inputs.

DeepSeek V4 Pro 0813 publishes its weights (MIT) and can be self-hosted; Mistral Large 4 is proprietary.

Mistral Large 4 is the newest, released Oct 6, 2026. DeepSeek V4 Pro 0813 came out Aug 13, 2026.

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.