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Comparison · 2 models · Updated Nov 2, 2026

Mistral Large 4 vs GPT-6 Astra

Too close to call on our weighted score (GPT-6 Astra 68, Mistral Large 4 67). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Large 4

    Released Oct 6, 2026NewBeta

    67/100
    • ECI150.6
    • Price$0.70 / $2.10
    • Context1.05M
    Full specs Remove Mistral Large 4

  2. OpenAI

    GPT-6 Astra

    Released Sep 4, 2026New

    68/100
    • ECI169.1
    • Price$10.00 / $50.00
    • Context1.05M
    Full specs Remove GPT-6 Astra

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (GPT-6 Astra 68/100, Mistral Large 4 67/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and Mistral Large 4 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-6 AstraCapabilities Index (ECI): GPT-6 Astra 169.1 · Mistral Large 4 150.6
  • Lowest priceMistral Large 4Mistral Large 4 $1.05 · GPT-6 Astra $20.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-6 Astra 1,050,000 · Mistral Large 4 1,048,576 tokens
  • Widest inputsGPT-6 AstraMistral Large 4: Text, Images · GPT-6 Astra: Text, Images, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMistral Large 4GPT-6 Astra
CapabilityCapabilities Index (ECI)50%77100
Price25%470
Inputs & features15%7080
Context window10%6161
Overall100%67/10068/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Mistral Large 4 vs GPT-6 Astra specifications side by side
SpecificationMistral Large 4Mistral AIGPT-6 AstraOpenAI
Capability
Capabilities Index (ECI)150.6169.1 (best)
ECI rank#57 of 165#1 of 165 (best)
GPQA DiamondGraduate-level science questions88.1%95.8% (best)
FrontierMath Tiers 1–3Research-level mathematics58.6%93.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics98.3%100% (best)
SimpleQA VerifiedShort factual questions20.0%75.6% (best)
Price per million tokens
Input$0.70 (best)$10.00
Output$2.10 (best)$50.00
Cached input$0.07 (best)$1.00
Blended (3:1)$1.05 (best)$20.00
Long-context rateSame rateOver 272K: $20.00 / $75.00
Price sourceOfficial Mistral APIOfficial OpenAI API
Limits
Context window1,048,576 tokens1,050,000 tokens (best)
Max output262,144 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningYeslow · medium · highYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDmistral-large-4gpt-6-astra
API providers1537 (best)
ReleasedOct 6, 2026Sep 4, 2026
Knowledge cutoff—Apr 30, 2026
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Mistral Large 4$11.20
  • GPT-6 Astra$200.00
04 — Questions

Which should you choose?

Which is better: Mistral Large 4 or GPT-6 Astra?

It is close. Our weighted score puts them within 1 points (GPT-6 Astra 68/100, Mistral Large 4 67/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and Mistral Large 4 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large 4 or GPT-6 Astra?

Mistral Large 4 is cheaper at $0.70 input / $2.10 output per million tokens (official Mistral API price). GPT-6 Astra costs $10.00 input / $50.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $1.05 per million tokens for Mistral Large 4 versus $20.00 for GPT-6 Astra (19× as much).

Which scores higher on benchmarks?

GPT-6 Astra scores higher on the Capabilities Index (ECI): GPT-6 Astra 169.1 (#1 of 165) and Mistral Large 4 150.6 (#57 of 165). Their confidence ranges do not overlap (165.9–174.3 vs 147.4–153.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-6 Astra 95.8%, Mistral Large 4 88.1%; FrontierMath Tiers 1–3 — GPT-6 Astra 93.7%, Mistral Large 4 58.6%; OTIS Mock AIME 2024–2025 — GPT-6 Astra 100%, Mistral Large 4 98.3%; SimpleQA Verified — GPT-6 Astra 75.6%, Mistral Large 4 20.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 4 and GPT-6 Astra yet, so there is no like-for-like coding score. On overall capability, GPT-6 Astra leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Their context windows are effectively the same size: Mistral Large 4 1,048,576 and GPT-6 Astra 1,050,000 tokens. Maximum output per response: Mistral Large 4 up to 262,144, GPT-6 Astra up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Mistral Large 4 accepts text and images; GPT-6 Astra accepts text, images and PDFs. GPT-6 Astra handles the widest range of inputs.

Are any of these open source?

No. Mistral Large 4 and GPT-6 Astra are proprietary and only available through APIs and apps.

Which is newer?

Mistral Large 4 is the newest, released Oct 6, 2026. GPT-6 Astra came out Sep 4, 2026. Knowledge cutoff: GPT-6 Astra Apr 30, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.

05 — Keep comparing

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