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Model comparison · Updated May 2026

Grok 4 vs Mistral Large: Price, Context, Benchmarks (2026)

A direct, dated comparison of Grok 4 (xAI) and Mistral Large (Mistral). Every number below is sourced from official provider docs and public benchmarks. If you need to make this decision today, the verdict is at the top.

30-second verdict

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Specs side-by-side

SpecGrok 4Mistral Large
VendorxAIMistral
Input price (per 1M tokens)$3.00$2.00
Output price$15.00$6.00
Context window256K128K
Release date2025-07-092025-02-01
SWE-bench Verified~55%~45%
HumanEval~90%~88%
LMArena (approx)14001380
Open weightsNoYes
Capabilitiesreasoning, webcode

Pricing from official xAI and Mistral docs. Benchmark numbers from SWE-bench Verified, HumanEval, and LMArena public leaderboards as of May 2026.

Grok 4 — strengths and weaknesses

Strengths. Real-time X/Twitter access, strong math, edgy persona.

Weaknesses. Thin IDE/tool ecosystem, weaker code than Claude/GPT-5.

Best for. Breaking news, social analysis, math, X-integrated workflows.

Mistral Large — strengths and weaknesses

Strengths. EU-hosted, Apache-licensed open variants, solid tool use, predictable.

Weaknesses. Behind frontier on reasoning benchmarks.

Best for. EU compliance, on-prem deployments, mid-range workloads.

Which one should you pick?

Pick Grok 4 if: breaking news, social analysis, math, x-integrated workflows.

Pick Mistral Large if: eu compliance, on-prem deployments, mid-range workloads.

Use both if: you're building an agent or content pipeline. Route the high-stakes / hard-reasoning calls to whichever scores higher on the axis you care about, and the bulk / cheap calls to the other. Most production AI products run a 2-3 model router rather than betting on one.

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