ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.5 Instant vs Inkling vs Mistral Medium 3.5

Inkling comes out ahead, 59 to 55 and 51 on our weighted score, though Mistral Medium 3.5 is 42% cheaper per token.

  1. OpenAI

    GPT-5.5 Instant

    Released May 5, 2026

    51/100
    • ECI142.5
    • Price$5.00 / $30.00
    • Context400K
  2. Our pick

    Thinking Machines

    Inkling

    Released Jul 15, 2026

    59/100
    • ECI148.6
    • Price$3.74 / $9.36
    • Context1.05M
  3. Mistral AI

    Mistral Medium 3.5

    Released Apr 29, 2026

    55/100
    • ECI141.4
    • Price$1.50 / $7.50
    • Context262K
01 — Verdict

Inkling is our pick

Inkling is the better all-round choice, scoring 59/100 against Mistral Medium 3.5 (55) and GPT-5.5 Instant (51). It leads on capability and context window. GPT-5.5 Instant wins on inputs & features. Mistral Medium 3.5 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityInklingCapabilities Index (ECI): Inkling 148.6 · GPT-5.5 Instant 142.5 · Mistral Medium 3.5 141.4
  • Lowest priceMistral Medium 3.5Mistral Medium 3.5 $3.00 · Inkling $5.14 · GPT-5.5 Instant $11.25 per 1M tokens (3:1 blend)
  • Longest contextInklingInkling 1,048,576 · GPT-5.5 Instant 400,000 · Mistral Medium 3.5 262,144 tokens
  • Widest inputsGPT-5.5 Instant and InklingGPT-5.5 Instant: Text, Images, PDFs · Inkling: Text, Images, Audio · Mistral Medium 3.5: Text, Images
  • Self-hostingInkling and Mistral Medium 3.5Publishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightGPT-5.5 InstantInklingMistral Medium 3.5
CapabilityCapabilities Index (ECI)50%697667
Price25%01627
Inputs & features15%807070
Context window10%446137
Overall100%51/10059/10055/100
02 — Side by side

Every spec in one table

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

GPT-5.5 Instant vs Inkling vs Mistral Medium 3.5 specifications side by side
SpecificationGPT-5.5 InstantOpenAIInklingThinking MachinesMistral Medium 3.5Mistral AI
Capability
Capabilities Index (ECI)142.5148.6 (best)141.4
ECI rank#89 of 148#57 of 148 (best)#95 of 148
GPQA DiamondGraduate-level science questions82.5%88.3% (best)—
FrontierMath Tiers 1–3Research-level mathematics26.3%33.3% (best)—
OTIS Mock AIME 2024–2025Competition mathematics68.1%88.9% (best)—
SimpleQA VerifiedShort factual questions—40.3%—
Price per million tokens
Input$5.00$3.74$1.50 (best)
Output$30.00$9.36$7.50 (best)
Cached input—$0.748$0.15 (best)
Blended (3:1)$11.25$5.14$3.00 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 3 providersOfficial Thinking Machines APIOfficial Mistral API
Limits
Context window400,000 tokens1,048,576 tokens (best)262,144 tokens
Max output128,000 tokens1,048,576 tokens (best)262,144 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoNo
AudioNoYesNo
VideoNoNoNo
ReasoningYesYeslow · medium · high · xhigh · maxYeshigh
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenApache-2.0Open
API model ID—thinkingmachines/Inkling:peft:262144mistral-medium-2604
API providers323 (best)12
ReleasedMay 5, 2026Jul 15, 2026Apr 29, 2026
Knowledge cutoffDec 1, 2025——
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-5.5 Instant$110.00
  • Inkling$56.12
  • Mistral Medium 3.5$30.00
04 — Questions

Which should you choose?

Which is better: GPT-5.5 Instant, Inkling or Mistral Medium 3.5?

Inkling is the better all-round choice, scoring 59/100 against Mistral Medium 3.5 (55) and GPT-5.5 Instant (51). It leads on capability and context window. GPT-5.5 Instant wins on inputs & features. Mistral Medium 3.5 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.5 Instant, Inkling or Mistral Medium 3.5?

Mistral Medium 3.5 is cheaper at $1.50 input / $7.50 output per million tokens (official Mistral API price). Inkling costs $3.74 input / $9.36 output per million tokens (official Thinking Machines API price); GPT-5.5 Instant costs $5.00 input / $30.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Mistral Medium 3.5 versus $5.14 for Inkling (1.7× as much) and $11.25 for GPT-5.5 Instant (3.8× as much).

Which scores higher on benchmarks?

Inkling scores higher on the Capabilities Index (ECI): Inkling 148.6 (#57 of 148), GPT-5.5 Instant 142.5 (#89 of 148) and Mistral Medium 3.5 141.4 (#95 of 148). Their confidence ranges do not overlap (145.7–150.6 vs 140.0–145.3), so the gap is a real one.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.5 Instant, Inkling and Mistral Medium 3.5 yet, so there is no like-for-like coding score. On overall capability, Inkling leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Inkling has the largest context window at 1,048,576 tokens, against 400,000 for GPT-5.5 Instant and 262,144 for Mistral Medium 3.5. Maximum output per response: GPT-5.5 Instant up to 128,000, Inkling up to 1,048,576, Mistral Medium 3.5 up to 262,144 tokens.

Which can read images, PDFs, audio or video?

GPT-5.5 Instant accepts text, images and PDFs; Inkling accepts text, images and audio; Mistral Medium 3.5 accepts text and images. GPT-5.5 Instant handles the widest range of inputs.

Are any of these open source?

Inkling and Mistral Medium 3.5 publishes its weights (Apache-2.0) and can be self-hosted; GPT-5.5 Instant is proprietary.

Which is newer?

Inkling is the newest, released Jul 15, 2026. GPT-5.5 Instant came out May 5, 2026; Mistral Medium 3.5 came out Apr 29, 2026. Knowledge cutoff: GPT-5.5 Instant Dec 1, 2025.

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 Oct 4, 2026.