ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.1 vs Inkling vs Claude Opus 4.5

Too close to call on our weighted score (GPT-5.1 60, Inkling 59, Claude Opus 4.5 55). The right pick depends on what you value most.

  1. OpenAI

    GPT-5.1

    Released Nov 13, 2025

    60/100
    • ECI149.7
    • Price$1.25 / $10.00
    • Context400K
  2. Thinking Machines

    Inkling

    Released Jul 15, 2026

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

    Claude Opus 4.5

    Released Nov 24, 2025

    55/100
    • ECI150.1
    • Price$5.00 / $25.00
    • Context200K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (GPT-5.1 60/100, Inkling 59/100, Claude Opus 4.5 55/100), so choose by what matters most for your work: Claude Opus 4.5 for raw capability, GPT-5.1 on price and Inkling for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Opus 4.5Capabilities Index (ECI): Claude Opus 4.5 150.1 · GPT-5.1 149.7 · Inkling 148.6
  • Lowest priceGPT-5.1GPT-5.1 $3.44 · Inkling $5.14 · Claude Opus 4.5 $10.00 per 1M tokens (3:1 blend)
  • Longest contextInklingInkling 1,048,576 · GPT-5.1 400,000 · Claude Opus 4.5 200,000 tokens
  • Widest inputsInkling and Claude Opus 4.5GPT-5.1: Text, Images · Inkling: Text, Images, Audio · Claude Opus 4.5: Text, Images, PDFs
  • Self-hostingInklingPublishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightGPT-5.1InklingClaude Opus 4.5
CapabilityCapabilities Index (ECI)50%787678
Price25%24162
Inputs & features15%707080
Context window10%446132
Overall100%60/10059/10055/100
02 — Side by side

Every spec in one table

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

GPT-5.1 vs Inkling vs Claude Opus 4.5 specifications side by side
SpecificationGPT-5.1OpenAIInklingThinking MachinesClaude Opus 4.5Anthropic
Capability
Capabilities Index (ECI)149.7148.6150.1 (best)
ECI rank#52 of 148#57 of 148#48 of 148 (best)
GPQA DiamondGraduate-level science questions87.6%88.3% (best)86.1%
FrontierMath Tiers 1–3Research-level mathematics—33.3%34.4% (best)
OTIS Mock AIME 2024–2025Competition mathematics88.6%88.9% (best)86.1%
SWE-bench VerifiedFixing real GitHub issues68.0%—76.7% (best)
SimpleQA VerifiedShort factual questions48.0% (best)40.3%45.7%
Price per million tokens
Input$1.25 (best)$3.74$5.00
Output$10.00$9.36 (best)$25.00
Cached input$0.125 (best)$0.748$0.50
Blended (3:1)$3.44 (best)$5.14$10.00
Long-context rateSame rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Thinking Machines APIOfficial Anthropic API
Limits
Context window400,000 tokens1,048,576 tokens (best)200,000 tokens
Max output128,000 tokens1,048,576 tokens (best)64,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoYes
AudioNoYesNo
VideoNoNoNo
ReasoningYeslow · medium · highYeslow · medium · high · xhigh · maxYeslow · medium · high
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenApache-2.0Proprietary
API model IDgpt-5.1thinkingmachines/Inkling:peft:262144claude-opus-4-5
API providers212328 (best)
ReleasedNov 13, 2025Jul 15, 2026Nov 24, 2025
Knowledge cutoffSep 30, 2024—May 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-5.1$32.50
  • Inkling$56.12
  • Claude Opus 4.5$100.00
04 — Questions

Which should you choose?

Which is better: GPT-5.1, Inkling or Claude Opus 4.5?

It is close. Our weighted score puts them within 1 points (GPT-5.1 60/100, Inkling 59/100, Claude Opus 4.5 55/100), so choose by what matters most for your work: Claude Opus 4.5 for raw capability, GPT-5.1 on price and Inkling for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.1, Inkling or Claude Opus 4.5?

GPT-5.1 is cheaper at $1.25 input / $10.00 output per million tokens (official OpenAI API price). Inkling costs $3.74 input / $9.36 output per million tokens (official Thinking Machines API price); Claude Opus 4.5 costs $5.00 input / $25.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5.1 versus $5.14 for Inkling (1.5× as much) and $10.00 for Claude Opus 4.5 (2.9× as much).

Which scores higher on benchmarks?

Claude Opus 4.5 scores higher on the Capabilities Index (ECI): Claude Opus 4.5 150.1 (#48 of 148), GPT-5.1 149.7 (#52 of 148) and Inkling 148.6 (#57 of 148). The confidence ranges of the top two overlap (147.9–153.0 vs 148.3–151.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — Inkling 88.3%, GPT-5.1 87.6%, Claude Opus 4.5 86.1%; OTIS Mock AIME 2024–2025 — Inkling 88.9%, GPT-5.1 88.6%, Claude Opus 4.5 86.1%; SimpleQA Verified — GPT-5.1 48.0%, Claude Opus 4.5 45.7%, Inkling 40.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Inkling yet, so there is no like-for-like coding score. On overall capability, Claude Opus 4.5 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-5.1 and 200,000 for Claude Opus 4.5. Maximum output per response: GPT-5.1 up to 128,000, Inkling up to 1,048,576, Claude Opus 4.5 up to 64,000 tokens.

Which can read images, PDFs, audio or video?

GPT-5.1 accepts text and images; Inkling accepts text, images and audio; Claude Opus 4.5 accepts text, images and PDFs. 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; GPT-5.1 and Claude Opus 4.5 is proprietary.

Which is newer?

Inkling is the newest, released Jul 15, 2026. Claude Opus 4.5 came out Nov 24, 2025; GPT-5.1 came out Nov 13, 2025. Knowledge cutoff: GPT-5.1 Sep 30, 2024, Claude Opus 4.5 May 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.