ZMIME
Comparison · 2 models · Updated Nov 2, 2026

GPT-6.1 Terra vs Mistral Large 4

GPT-6.1 Terra comes out ahead, 76 to 67 on our weighted score, though Mistral Large 4 is 48% cheaper per token.

  1. Our pick

    OpenAI

    GPT-6.1 Terra

    Released Oct 26, 2026

    76/100
    • ECI168.1
    • Price$1.00 / $5.00
    • Context1.05M
    Full specs Remove GPT-6.1 Terra

  2. Mistral AI

    Mistral Large 4

    Released Oct 6, 2026Beta

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

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-6.1 Terra is our pick

GPT-6.1 Terra is the better all-round choice, scoring 76/100 against Mistral Large 4 (67). It leads on capability and inputs & features. Mistral Large 4 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-6.1 TerraCapabilities Index (ECI): GPT-6.1 Terra 168.1 · Mistral Large 4 150.6
  • Lowest priceMistral Large 4Mistral Large 4 $1.05 · GPT-6.1 Terra $2.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-6.1 Terra 1,050,000 · Mistral Large 4 1,048,576 tokens
  • Widest inputsGPT-6.1 TerraGPT-6.1 Terra: Text, Images, PDFs · Mistral Large 4: Text, Images
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGPT-6.1 TerraMistral Large 4
CapabilityCapabilities Index (ECI)50%9977
Price25%3447
Inputs & features15%8070
Context window10%6161
Overall100%76/10067/100
02 — Side by side

Every spec in one table

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

GPT-6.1 Terra vs Mistral Large 4 specifications side by side
SpecificationGPT-6.1 TerraOpenAIMistral Large 4Mistral AI
Capability
Capabilities Index (ECI)168.1 (best)150.6
ECI rank#3 of 165 (best)#57 of 165
GPQA DiamondGraduate-level science questions94.3% (best)88.1%
FrontierMath Tiers 1–3Research-level mathematics90.9% (best)58.6%
OTIS Mock AIME 2024–2025Competition mathematics100% (best)98.3%
SimpleQA VerifiedShort factual questions57.3% (best)20.0%
Price per million tokens
Input$1.00$0.70 (best)
Output$5.00$2.10 (best)
Cached input$0.05 (best)$0.07
Blended (3:1)$2.00$1.05 (best)
Long-context rateOver 272K: $2.00 / $7.50Same rate
Price sourceOfficial OpenAI APIOfficial Mistral API
Limits
Context window1,050,000 tokens (best)1,048,576 tokens
Max output128,000 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesNo
AudioNoNo
VideoNoNo
ReasoningYeslow · medium · high · xhigh · maxYeslow · medium · high
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgpt-6.1-terramistral-large-4
API providers22 (best)15
ReleasedOct 26, 2026Oct 6, 2026
Knowledge cutoffJun 1, 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.

  • GPT-6.1 Terra$20.00
  • Mistral Large 4$11.20
04 — Questions

Which should you choose?

Which is better: GPT-6.1 Terra or Mistral Large 4?

GPT-6.1 Terra is the better all-round choice, scoring 76/100 against Mistral Large 4 (67). It leads on capability and inputs & features. Mistral Large 4 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-6.1 Terra or Mistral Large 4?

Mistral Large 4 is cheaper at $0.70 input / $2.10 output per million tokens (official Mistral API price). GPT-6.1 Terra costs $1.00 input / $5.00 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 $2.00 for GPT-6.1 Terra (1.9× as much).

Which scores higher on benchmarks?

GPT-6.1 Terra scores higher on the Capabilities Index (ECI): GPT-6.1 Terra 168.1 (#3 of 165) and Mistral Large 4 150.6 (#57 of 165). Their confidence ranges do not overlap (164.9–172.9 vs 147.4–153.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-6.1 Terra 94.3%, Mistral Large 4 88.1%; FrontierMath Tiers 1–3 — GPT-6.1 Terra 90.9%, Mistral Large 4 58.6%; OTIS Mock AIME 2024–2025 — GPT-6.1 Terra 100%, Mistral Large 4 98.3%; SimpleQA Verified — GPT-6.1 Terra 57.3%, Mistral Large 4 20.0%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-6.1 Terra and Mistral Large 4 yet, so there is no like-for-like coding score. On overall capability, GPT-6.1 Terra 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: GPT-6.1 Terra 1,050,000 and Mistral Large 4 1,048,576 tokens. Maximum output per response: GPT-6.1 Terra up to 128,000, Mistral Large 4 up to 262,144 tokens.

Which can read images, PDFs, audio or video?

GPT-6.1 Terra accepts text, images and PDFs; Mistral Large 4 accepts text and images. GPT-6.1 Terra handles the widest range of inputs.

Are any of these open source?

No. GPT-6.1 Terra and Mistral Large 4 are proprietary and only available through APIs and apps.

Which is newer?

GPT-6.1 Terra is the newest, released Oct 26, 2026. Mistral Large 4 came out Oct 6, 2026. Knowledge cutoff: GPT-6.1 Terra Jun 1, 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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