ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mistral Large 4 vs Inkling

Mistral Large 4 comes out ahead, 67 to 63 on our weighted score, and it is the cheaper option too.

  1. Our pick

    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. Thinking Machines

    Inkling

    Released Jul 15, 2026

    63/100
    • ECI148.5
    • Price$1.00 / $4.05
    • Context1.05M
    Full specs Remove Inkling

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Mistral Large 4 is our pick

Mistral Large 4 is the better all-round choice, scoring 67/100 against Inkling (63). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Large 4Capabilities Index (ECI): Mistral Large 4 150.6 · Inkling 148.5
  • Lowest priceMistral Large 4Mistral Large 4 $1.05 · Inkling $1.76 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMistral Large 4 1,048,576 · Inkling 1,048,576 tokens
  • Widest inputsInklingMistral Large 4: Text, Images · Inkling: Text, Images, Audio
  • Self-hostingInklingPublishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightMistral Large 4Inkling
CapabilityCapabilities Index (ECI)50%7775
Price25%4737
Inputs & features15%7070
Context window10%6161
Overall100%67/10063/100
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 Inkling specifications side by side
SpecificationMistral Large 4Mistral AIInklingThinking Machines
Capability
Capabilities Index (ECI)150.6 (best)148.5
ECI rank#57 of 165 (best)#67 of 165
GPQA DiamondGraduate-level science questions88.1%88.3% (best)
FrontierMath Tiers 1–3Research-level mathematics58.6% (best)33.3%
OTIS Mock AIME 2024–2025Competition mathematics98.3% (best)88.9%
SimpleQA VerifiedShort factual questions20.0%40.3% (best)
Price per million tokens
Input$0.70 (best)$1.00
Output$2.10 (best)$4.05
Cached input$0.07 (best)$0.17
Blended (3:1)$1.05 (best)$1.76
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Thinking Machines API
Limits
Context window1,048,576 tokens1,048,576 tokens
Max output262,144 tokens1,048,576 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoYes
VideoNoNo
ReasoningYeslow · medium · highYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpenApache-2.0
API model IDmistral-large-4thinkingmachines/Inkling:peft:262144:sampling-nvfp4
API providers1520 (best)
ReleasedOct 6, 2026Jul 15, 2026
Knowledge cutoff——
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
  • Inkling$18.10
04 — Questions

Which should you choose?

Which is better: Mistral Large 4 or Inkling?

Mistral Large 4 is the better all-round choice, scoring 67/100 against Inkling (63). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large 4 or Inkling?

Mistral Large 4 is cheaper at $0.70 input / $2.10 output per million tokens (official Mistral API price). Inkling costs $1.00 input / $4.05 output per million tokens (official Thinking Machines 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 $1.76 for Inkling (1.7× as much).

Which scores higher on benchmarks?

Mistral Large 4 scores higher on the Capabilities Index (ECI): Mistral Large 4 150.6 (#57 of 165) and Inkling 148.5 (#67 of 165). The confidence ranges of the top two overlap (147.4–153.5 vs 145.8–150.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Inkling 88.3%, Mistral Large 4 88.1%; FrontierMath Tiers 1–3 — Mistral Large 4 58.6%, Inkling 33.3%; OTIS Mock AIME 2024–2025 — Mistral Large 4 98.3%, Inkling 88.9%; SimpleQA Verified — Inkling 40.3%, Mistral Large 4 20.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 4 and Inkling yet, so there is no like-for-like coding score. On overall capability, Mistral Large 4 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?

Mistral Large 4 and Inkling share the same 1,048,576-token context window. Maximum output per response: Mistral Large 4 up to 262,144, Inkling up to 1,048,576 tokens.

Which can read images, PDFs, audio or video?

Mistral Large 4 accepts text and images; Inkling accepts text, images and audio. Inkling handles the widest range of inputs.

Are any of these open source?

Inkling publishes its weights (Apache-2.0) and can be self-hosted; Mistral Large 4 is proprietary.

Which is newer?

Mistral Large 4 is the newest, released Oct 6, 2026. Inkling came out Jul 15, 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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