Skip to main content
AI Choice Engine

Model comparison

DeepSeek V4 Pro vs Mistral Large 3

DeepSeek against Mistral, compared on context, price, and attributed benchmark results.

Recorded profile verification October 2, 2026Individual provider fields may changeEvidence confidence: Medium — see receipts below

DeepSeek

DeepSeek V4 Pro

Frontier · Open weights

vs

Mistral

Mistral Large 3

Frontier · Open weights

AI model capability comparison
SpecificationDeepSeek V4 ProMistral Large 3
ProviderDeepSeekMistral
TierFrontierFrontier
Context windowWinner: 1M262K
Max output384KNot verifiedUnverified
Input / 1M tokens$1.32Winner: $0.50
Output / 1M tokens$3.96Winner: $1.50
WeightsOpenOpen
Parameters1.6T total / 49B active (MoE)675B total / 41B active (sparse MoE)
Reasoning levelslow, high, maxNot verifiedUnverified
Modalitiestexttext, image
LicenseMITApache 2.0
API model iddeepseek-v4-promistral-large-2512
ReleasedApril 24, 2026December 2, 2025
Artificial Analysis Intelligence Index [max] · source date DeepSeek V4 Pro: 2026-10-0136Not verifiedUnverified
Artificial Analysis Intelligence Index · source date Mistral Large 3: 2026-10-01Not verifiedUnverified9
SWE-bench Verified [max] · source date DeepSeek V4 Pro: 2026-04-2480.6Not verifiedUnverified
GPQA Diamond [max] · source date DeepSeek V4 Pro: 2026-04-2490.1Not verifiedUnverified
GPQA Diamond · source date Mistral Large 3: 2026-09-26Not verifiedUnverified68
Humanity's Last Exam [max] · source date DeepSeek V4 Pro: 2026-04-2448.2Not verifiedUnverified
Humanity's Last Exam · source date DeepSeek V4 Pro: 2026-08-1342.7Not verifiedUnverified
Humanity's Last Exam · source date DeepSeek V4 Pro: 2026-08-1360Not verifiedUnverified
MMLU-Pro [max] · source date DeepSeek V4 Pro: 2026-04-2487.5Not verifiedUnverified
Terminal-Bench 2.1 · source date DeepSeek V4 Pro: 2026-08-1387.9Not verifiedUnverified
DeepSWE 1.1 · source date DeepSeek V4 Pro: 2026-08-1362.7Not verifiedUnverified

Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Where each score comes from, and how far it can be compared across models.

Pricing tiers

DeepSeek V4 Pro: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Cache hit $0.044 peak / $0.022 off-peak. Peak hours are weekdays 01:00–04:00 and 06:00–10:00 UTC, excluding Chinese public holidays; weekends, holidays and all other hours are off-peak. Open weights (MIT). 1.6T/49B active MoE.

Mistral Large 3: Mistral first-party API $0.50/$1.50 per MTok; cached input $0.05. The 675B-total / 41B-active multimodal checkpoint declares Apache 2.0. Regional hosting is endpoint-specific.

FrontierOpen weightsRecord checked October 1, 2026

DeepSeek V4 Pro

DeepSeek V4 Pro is DeepSeek's large open-weight (MIT) MoE with a 1M-token context — DeepSeek says the cheaper V4.1-Flash now beats it.

Best for

  • Cost-sensitive hosted agents
  • Open-weight deployments
  • High-volume coding

Watch out

The current tariff identifies DeepSeek-V4-Pro-0813. DeepSeek's current changelog reverses the earlier September 14 re-route plan and says it will continue serving V4 Pro at unchanged rates until further notice. Original April benchmark/checkpoint results are not the current 0813 evaluation. Self-hosting memory depends on quantization, offloading and hardware.

FrontierOpen weightsRecord checked October 2, 2026

Mistral Large 3

Mistral's December 2025 multimodal 675B/41B sparse MoE with a 256K context; Medium 3.5 is a separate dense model with configurable reasoning.

Best for

  • Open-weight deployments
  • Multimodal EU-hosted inference
  • Balanced frontier work

Watch out

The publisher describes Large 3 as not a dedicated reasoning model and documents vision limitations. It advertises FP8 deployment on a B200/H200 node or a separate NVFP4 checkpoint on H100/A100 nodes; this is not a guarantee for every serving setup. A separate hard output cap is not verified. Confirm regional residency on the actual endpoint.

When the cheaper one wins

Mistral Large 3 is cheaper on output at $1.50 per million tokens against $3.96 for DeepSeek V4 Pro — about 2.6×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. This compares standard short-context token rates, not total cost per accepted task. Include input, cache, context tiers, schedules, retries and review in your pilot.

Run the model picker

Evidence confidence: Medium

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sides — Input and output rates are verified for both models.
  • 3/5 core specs verified on both sides — Not published for at least one side: max output, reasoning levels.
  • No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
  • Verified within the last 90 days — Older of the two catalog checks was 25 days ago.
  • Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Common questions

DeepSeek V4 Pro vs Mistral Large 3

Answered from the verified figures on this page rather than general guidance.

Is DeepSeek V4 Pro or Mistral Large 3 cheaper for input?
Mistral Large 3 is cheaper at $0.50 per million input tokens, against $1.32 for DeepSeek V4 Pro — roughly 2.6× the price. Estimate both input and output token volume for your workload. These are base rates; DeepSeek V4 Pro: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Cache hit $0.044 peak / $0.022 off-peak. Peak hours are weekdays 01:00–04:00 and 06:00–10:00 UTC, excluding Chinese public holidays; weekends, holidays and all other hours are off-peak. Open weights (MIT). 1.6T/49B active MoE. Mistral Large 3: Mistral first-party API $0.50/$1.50 per MTok; cached input $0.05. The 675B-total / 41B-active multimodal checkpoint declares Apache 2.0. Regional hosting is endpoint-specific.
Is DeepSeek V4 Pro or Mistral Large 3 cheaper for output?
Mistral Large 3 is cheaper at $1.50 per million output tokens, against $3.96 for DeepSeek V4 Pro — roughly 2.6× the price. Estimate both input and output token volume for your workload. These are base rates; DeepSeek V4 Pro: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Cache hit $0.044 peak / $0.022 off-peak. Peak hours are weekdays 01:00–04:00 and 06:00–10:00 UTC, excluding Chinese public holidays; weekends, holidays and all other hours are off-peak. Open weights (MIT). 1.6T/49B active MoE. Mistral Large 3: Mistral first-party API $0.50/$1.50 per MTok; cached input $0.05. The 675B-total / 41B-active multimodal checkpoint declares Apache 2.0. Regional hosting is endpoint-specific.
Which has the larger context window, DeepSeek V4 Pro or Mistral Large 3?
DeepSeek V4 Pro accepts 1M tokens against 262K for Mistral Large 3. This only matters if you routinely send very long documents or large codebases.
Should I use DeepSeek V4 Pro or Mistral Large 3?
Both are classified in our frontier tier; this editorial grouping does not imply equal capability. DeepSeek V4 Pro is a candidate for cost-sensitive hosted agents; Mistral Large 3 is a candidate for open-weight deployments. Compare accuracy, tool reliability, latency and cost on representative tasks.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: Mistral Large 3 costs $0.50 per 1M tokens versus $1.32 for DeepSeek V4 Pro — a 2.6x difference at the headline tier.
  • Context: DeepSeek V4 Pro takes 1M against 262K for Mistral Large 3 — only decisive if your prompts approach the smaller window.

Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.