Mistral Large 2 / Mixtral family vs xAI Grok 4

Mistral Large 2 / Mixtral family vs xAI Grok 4: side-by-side comparison of two foundation models (substrate reference) systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.

Mistral Large 2 / Mixtral family · xAI Grok 4

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Cost & capability

Mistral Large 2 / Mixtral familyxAI Grok 4
Capability bandcompetentfrontier
Capability composite7488
Cost tiermidpremium
$/Mtok input23
$/Mtok output615
Use casesScoped Agentic, Code Generation Focused, Analytical Summarization, Memory Augmented ChatScoped Agentic, Code Generation Focused, Analytical Summarization, Memory Augmented Chat

Where they differ (16)

Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.

Mistral Large 2 / Mixtral familyxAI Grok 4
Capability bandcompetentfrontier
Capability composite7488
Cost tiermidpremium
$/Mtok input23
$/Mtok output615
TypeFrontier model family — Mistral Large 2 + Mixtral 8x22B + Mistral Small 3Frontier foundation model from xAI (Grok 4)
Created2023-04 (Mistral AI founded); 2023-09 (Mistral 7B); 2023-12 (Mixtral 8x7B); 2024-04 (Mixtral 8x22B); 2024-07 (Large 2); 2025-01 (Small 3)2023-07 (xAI founded); 2023-11 (Grok 1); 2024-08 (Grok 2); 2025-02 (Grok 3); 2025-07 (Grok 4)
Latest releaseMistral Medium 3.5 (2026-04-29); Mistral Large 4 in public preview (2026-10), weights not yet releasedGrok 4.7 (2026-09-21)
LicenseMixed: Mistral Research License MRL-0.1, non-OSI (Mistral Large 2 / 2407 and 2411 weights; commercial use needs a separate licence); Mistral Non-Production License (Codestral 22B); Modified MIT (Medium 3.5 weights); Apache-2.0 (Mixtral 8x22B, Small / Large 3 / other open models); some models API-only proprietaryproprietary (Grok 4); older open weights: Grok-1 (Apache-2.0) and Grok 2 (Grok 2 Community License)
GitHubgithub.com/mistralai/mistral-inference + various model repos; cumulative ~30k+ starsgithub.com/xai-org/grok-1 ~50k stars (older Grok 1 weights only)
PricingAPI: Mistral Medium 3.5 $1.50 in / $7.50 out per 1M; Mistral Large 3 $0.50 / $1.50; batch 50% off; open weights freeAPI: Grok 4.7 $2 in / $6 out per 1M (prompts ‹200k tokens; $4 / $12 above); consumer via X / SuperGrok subscriptions
Funding€2.4B+ total raised (~$2.7B USD); €11.7B valuation Series C Sept-2025 (ASML lead); a16z, General Catalyst, DST, Lightspeed, Nvidia investorsxAI merged into SpaceX (announced 2026-02-02, combined ~$1T); prior $20B Series E (2026-01, ~$230B valuation)
DeploymentBoth (self-hosted + managed cloud) — La Plateforme / Mistral Studio API, open weights for self-hosting, plus Azure / AWS / GCP marketplacesManaged-only — xAI API, grok.com, X apps; also via Amazon Bedrock, Microsoft Foundry, GitHub Copilot (older Grok-1 / Grok 2 weights downloadable)
API surfaceREST + SDK (Python, JS); HuggingFace Transformers for open-weights; Azure AI Foundry; AWS Bedrock; GCP VertexREST + SDK (Python, TS); OpenAI-compatible
Optimised forEU-hosted enterprise; sovereign AI for European governments; cost-effective hybrid (open + commercial) familyreal-time information (X firehose access); contrarian / less-filtered persona; benchmark frontier-tier reasoning
Anti-fitnot for users needing absolute frontier capability (lags Claude/GPT/Gemini on most benchmarks); not for non-Apache OSS users who want weight openness on Large 2X/Twitter integration is unique selling point but creates Musk-political-association risk; weights closed at Grok 4 tier; no on-prem; less polished tool-use than Claude/GPT

At a glance

Mistral Large 2 / Mixtral familyxAI Grok 4
SectionFoundation models (substrate reference) Foundation models (substrate reference)
TierT1 T1
TypeFrontier model family — Mistral Large 2 + Mixtral 8x22B + Mistral Small 3 Frontier foundation model from xAI (Grok 4)
Created2023-04 (Mistral AI founded); 2023-09 (Mistral 7B); 2023-12 (Mixtral 8x7B); 2024-04 (Mixtral 8x22B); 2024-07 (Large 2); 2025-01 (Small 3) 2023-07 (xAI founded); 2023-11 (Grok 1); 2024-08 (Grok 2); 2025-02 (Grok 3); 2025-07 (Grok 4)
Latest releaseMistral Medium 3.5 (2026-04-29); Mistral Large 4 in public preview (2026-10), weights not yet released Grok 4.7 (2026-09-21)
LicenseMixed: Mistral Research License MRL-0.1, non-OSI (Mistral Large 2 / 2407 and 2411 weights; commercial use needs a separate licence); Mistral Non-Production License (Codestral 22B); Modified MIT (Medium 3.5 weights); Apache-2.0 (Mixtral 8x22B, Small / Large 3 / other open models); some models API-only proprietary proprietary (Grok 4); older open weights: Grok-1 (Apache-2.0) and Grok 2 (Grok 2 Community License)
GitHubgithub.com/mistralai/mistral-inference + various model repos; cumulative ~30k+ stars github.com/xai-org/grok-1 ~50k stars (older Grok 1 weights only)
PricingAPI: Mistral Medium 3.5 $1.50 in / $7.50 out per 1M; Mistral Large 3 $0.50 / $1.50; batch 50% off; open weights free API: Grok 4.7 $2 in / $6 out per 1M (prompts ‹200k tokens; $4 / $12 above); consumer via X / SuperGrok subscriptions
Funding€2.4B+ total raised (~$2.7B USD); €11.7B valuation Series C Sept-2025 (ASML lead); a16z, General Catalyst, DST, Lightspeed, Nvidia investors xAI merged into SpaceX (announced 2026-02-02, combined ~$1T); prior $20B Series E (2026-01, ~$230B valuation)
DeploymentBoth (self-hosted + managed cloud) — La Plateforme / Mistral Studio API, open weights for self-hosting, plus Azure / AWS / GCP marketplaces Managed-only — xAI API, grok.com, X apps; also via Amazon Bedrock, Microsoft Foundry, GitHub Copilot (older Grok-1 / Grok 2 weights downloadable)
API surfaceREST + SDK (Python, JS); HuggingFace Transformers for open-weights; Azure AI Foundry; AWS Bedrock; GCP Vertex REST + SDK (Python, TS); OpenAI-compatible
Optimised forEU-hosted enterprise; sovereign AI for European governments; cost-effective hybrid (open + commercial) family real-time information (X firehose access); contrarian / less-filtered persona; benchmark frontier-tier reasoning
Anti-fitnot for users needing absolute frontier capability (lags Claude/GPT/Gemini on most benchmarks); not for non-Apache OSS users who want weight openness on Large 2 X/Twitter integration is unique selling point but creates Musk-political-association risk; weights closed at Grok 4 tier; no on-prem; less polished tool-use than Claude/GPT

Pros & cons

Mistral Large 2 / Mixtral family

Pros: Strongest EU AI-sovereignty story (Paris-HQ, GDPR-native, French gov customer); Apache 2.0 open weights for Mixtral / Small / Codestral; €2.7B raised at €11.7B valuation.

Cons: Trails US/China frontier labs on raw benchmarks; Large 2 not open-weights; smaller training-compute budget; multimodal less mature than peers.

xAI Grok 4

Pros: Real-time X/Twitter data access (unique among frontier models); Colossus supercluster gives independent training capacity; ARC-AGI-2 leader (vendor-stated).

Cons: Owner Musk political controversy creates enterprise procurement headwind; closed weights at Grok 4; no on-prem; less mature ecosystem than Anthropic/OpenAI/Google.

Rows last verified 2026-10-31 / 2026-10-31. Data is CC-BY-4.0 — see how to read this.