M

Mistral Large 4 (preview)

Global Rank
#08
Intelligence Index
45.6%
Blended Price / 1M
$2.0650
Throughput Speed
92 tps
Latency (TTFT)
1,650 ms
Context Window
1M
Price Efficiency
—
VERIFIED TELEMETRY

Benchmark Evaluations

View Benchmark Suites →
GPQA Diamond (default) 87.0%
SciCode (default) 50.0%
SWE-bench Verified (default) 46.5%
Terminal-Bench 2.0 (default) 45.0%
LiveCodeBench (default) 43.5%

Model Overview & Capabilities

Mistral Large 4 is Mistral AI’s largest frontier Mixture-of-Experts architecture released in public preview on October 6, 2026, claiming Rank #8 on the Vibe Coder Journal Leaderboard with a composite index score of 45.6. Built with approximately 1 trillion total parameters and 52 billion active parameters per token, it delivers verified scores of 46.5% on SWE-bench Verified, 45.0% on Terminal-Bench 2.0, 46.0% on Aider Polyglot, and 87.0% on GPQA Diamond.

Mistral lists standard commercial pricing at $1.36 per million input tokens and $4.18 per million output tokens, which resolves to an effective blended price of $2.065 per million tokens under 3:1 weighting, with promotional launch discounts reducing costs further during preview. At standard pricing, Mistral Large 4 yields an outstanding value score of $0.0453 per index point, significantly undercutting American proprietary frontier models while providing equivalent reasoning depth.

With a 1,000,000-token context window, 65,536 maximum output tokens, and throughput of 92 tokens per second, Mistral Large 4 offers exceptional multilingual coding capabilities, European regulatory data residency compliance, and dependable full-stack backend refactoring for international enterprise environments.

Pricing Trend History

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Price on Oct 2026: $2.0650 Price on Oct 2026: $2.0650 Price on Oct 2026: $2.0650 Blended Price per 1M tokens $2.07 $2.07

Closest Frontier Rivals

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Abdullah Zulfiqar
Abdullah ZulfiqarFounder & Technical EditorLast updated 21 October 2026

Abdullah Zulfiqar is the founder and editor of VibeCoderJournal, an independent publication covering AI coding tools, model benchmarks and developer workflows. His coverage includes Claude Code, Codex CLI, local model setup and benchmark methodology. See the About and Editorial Standards page for scoring definitions, source limitations and correction contacts.

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