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AI Choice Engine

Model comparison

Grok 4.7 vs Mistral Large 3

SpaceXAI against Mistral, compared on context, price, and verified benchmark results.

Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

SpaceXAI

Grok 4.7

Frontier

vs

Mistral

Mistral Large 3

Frontier · Open weights

AI model capability comparison
SpecificationGrok 4.7Mistral Large 3
ProviderSpaceXAIMistral
TierFrontierFrontier
Context windowWinner: 500K262K
Max outputNot verifiedUnverifiedNot verifiedUnverified
Input / 1M tokens$2Winner: $0.50
Output / 1M tokens$6Winner: $1.50
WeightsClosedOpen
Parametersnew, larger base model with longer RL on multi-hour tasks675B total / 41B active (sparse MoE)
Reasoning levelslow, medium, high, xhighNot verifiedUnverified
Modalitiestext, imagetext, image
LicenseNot disclosedUnverifiedApache 2.0
API model idgrok-4.7mistral-large-2512
ReleasedSeptember 21, 2026December 2, 2025
Artificial Analysis Intelligence Index [xhigh] (2026-09-26)46.4Not verifiedUnverified
Artificial Analysis Intelligence Index (2026-09-26)Not verifiedUnverified9.3
DeepSWE 1.1 [high] (2026-09-21)71Not verifiedUnverified
Terminal-Bench 4.0 [xhigh] (2026-09-26)25.8Not verifiedUnverified
GPQA Diamond (2026-09-26)Not verifiedUnverified68

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. 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.

  • 2026-09-26
    Artificial Analysis GPQA Diamond (independent; replaces Mistral's non-comparable base-model 5-shot 43.9)

    Graduate-level science reasoning: multiple-choice questions written by domain PhDs.

    Comparable with caveatSmall question pool: differences under ~2 points are within run-to-run noise. Chain-of-thought vs direct answering must match to compare. Saturated: frontier models score ~93–96% and Artificial Analysis dropped it from its Intelligence Index in v4.3 — use Humanity's Last Exam for hard reasoning.

  • 2026-09-26
    Artificial Analysis Terminal-Bench 4.0 (independent AA run, part of Intelligence Index v4.3.2)

    Agentic terminal work: long multi-step tasks executed in a sandboxed shell environment.

    Comparable with caveatNOT comparable with Terminal-Bench 2.x or 3.0 — 4.0 uses a new, non-overlapping task set. Within 4.0, scores from different harnesses (tbench.ai agent entries vs Artificial Analysis runs) are not interchangeable.

  • 2026-09-26
    Artificial Analysis

    Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.

    Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.

  • 2026-09-21
    xAI — Grok 4.7 announcement (vendor; not yet on Datacurve's board)

    Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.

    Directly comparable

Pricing tiers

Grok 4.7: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026.

Mistral Large 3: Mistral first-party API $0.50/$1.50 per MTok; cached input $0.05/MTok. Open weights (Apache 2.0), EU-hosted.

FrontierRecord checked September 26, 2026

Grok 4.7

Grok 4.7 is xAI's flagship since 2026-09-21 — a larger new base model with longer RL on multi-hour tasks, at Grok 4.6's $2/$6 price.

Best for

  • Coding agents
  • Cost-sensitive frontier work
  • Cursor and GitHub Copilot users

Watch out

Token rates double above a 200K-token prompt and there is no Batch API; the DeepSWE figure is vendor-reported.

FrontierOpen weightsRecord checked September 26, 2026

Mistral Large 3

Mistral Large 3 is Mistral's December 2025 open-weight (Apache 2.0) 675B/41B sparse MoE with a 262K context at $0.50/$1.50 — Mistral now features Medium 3.5 as its flagship.

Best for

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

Watch out

No longer Mistral's featured flagship (Medium 3.5 is) and far behind it on the Artificial Analysis index; max output is not published. Verify multimodal support and EU data residency on your endpoint.

When the cheaper one wins

Mistral Large 3 is cheaper on output at $1.50 per million tokens against $6 for Grok 4.7 — about 4.0×. 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. These are standard-tier API rates, excluding batch and cache discounts.

Run the model picker

Evidence confidence: High

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.
  • 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
  • Verified within the last 90 days — Newest catalog check was 2 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.

Related comparisons

Diving deeper on one model? Grok 4.7 · Mistral Large 3

Common questions

Grok 4.7 vs Mistral Large 3

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

Is Grok 4.7 or Mistral Large 3 cheaper for input?
Mistral Large 3 is cheaper at $0.50 per million input tokens, against $2 for Grok 4.7 — roughly 4.0× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Grok 4.7 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026. Mistral Large 3 has tiered pricing: Mistral first-party API $0.50/$1.50 per MTok; cached input $0.05/MTok. Open weights (Apache 2.0), EU-hosted.
Is Grok 4.7 or Mistral Large 3 cheaper for output?
Mistral Large 3 is cheaper at $1.50 per million output tokens, against $6 for Grok 4.7 — roughly 4.0× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Grok 4.7 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026. Mistral Large 3 has tiered pricing: Mistral first-party API $0.50/$1.50 per MTok; cached input $0.05/MTok. Open weights (Apache 2.0), EU-hosted.
Which has the larger context window, Grok 4.7 or Mistral Large 3?
Grok 4.7 accepts 500K tokens against 262K for Mistral Large 3. This only matters if you routinely send very long documents or large codebases.
Should I use Grok 4.7 or Mistral Large 3?
Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. Grok 4.7 suits coding agents; Mistral Large 3 suits open-weight deployments.
Can I self-host Grok 4.7 or Mistral Large 3?
Mistral Large 3 publishes open weights, but self-hosting and third-party provider access depend on the licence, hardware, serving support, and availability. Grok 4.7 is a closed model whose supported access paths are controlled by its provider.

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 $2 for Grok 4.7 — a 4x difference at the headline tier.
  • Context: Grok 4.7 takes 500K against 262K for Mistral Large 3 — only decisive if your prompts approach the smaller window.
  • Measured capability: Grok 4.7 leads Artificial Analysis Intelligence Index 46.4 to 9.3 (measured 2026-09-26).
  • Deployment: Mistral Large 3 publishes weights you can self-host; the other is API-only.
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