ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Opus 4.5 vs Inkling vs GPT-5.1

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. Anthropic

    Claude Opus 4.5

    Released Nov 24, 2025

    55/100
    • ECI150.1
    • Price$5.00 / $25.00
    • Context200K
  2. Thinking Machines

    Inkling

    Released Jul 15, 2026

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

    GPT-5.1

    Released Nov 13, 2025

    60/100
    • ECI149.7
    • Price$1.25 / $10.00
    • Context400K
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 inputsClaude Opus 4.5 and InklingClaude Opus 4.5: Text, Images, PDFs · Inkling: Text, Images, Audio · GPT-5.1: Text, Images
  • Self-hostingInklingPublishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightClaude Opus 4.5InklingGPT-5.1
CapabilityCapabilities Index (ECI)50%787678
Price25%21624
Inputs & features15%807070
Context window10%326144
Overall100%55/10059/10060/100
02 — Side by side

Every spec in one table

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

Claude Opus 4.5 vs Inkling vs GPT-5.1 specifications side by side
SpecificationClaude Opus 4.5AnthropicInklingThinking MachinesGPT-5.1OpenAI
Capability
Capabilities Index (ECI)150.1 (best)148.6149.7
ECI rank#48 of 148 (best)#57 of 148#52 of 148
GPQA DiamondGraduate-level science questions86.1%88.3% (best)87.6%
FrontierMath Tiers 1–3Research-level mathematics34.4% (best)33.3%—
OTIS Mock AIME 2024–2025Competition mathematics86.1%88.9% (best)88.6%
SWE-bench VerifiedFixing real GitHub issues76.7% (best)—68.0%
SimpleQA VerifiedShort factual questions45.7%40.3%48.0% (best)
Price per million tokens
Input$5.00$3.74$1.25 (best)
Output$25.00$9.36 (best)$10.00
Cached input$0.50$0.748$0.125 (best)
Blended (3:1)$10.00$5.14$3.44 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Anthropic APIOfficial Thinking Machines APIOfficial OpenAI API
Limits
Context window200,000 tokens1,048,576 tokens (best)400,000 tokens
Max output64,000 tokens1,048,576 tokens (best)128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoNo
AudioNoYesNo
VideoNoNoNo
ReasoningYeslow · medium · highYeslow · medium · high · xhigh · maxYeslow · medium · high
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenApache-2.0Proprietary
API model IDclaude-opus-4-5thinkingmachines/Inkling:peft:262144gpt-5.1
API providers28 (best)2321
ReleasedNov 24, 2025Jul 15, 2026Nov 13, 2025
Knowledge cutoffMay 2025—Sep 30, 2024
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.

  • Claude Opus 4.5$100.00
  • Inkling$56.12
  • GPT-5.1$32.50
04 — Questions

Which should you choose?

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

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, Claude Opus 4.5, Inkling or GPT-5.1?

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: Claude Opus 4.5 up to 64,000, Inkling up to 1,048,576, GPT-5.1 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Claude Opus 4.5 accepts text, images and PDFs; Inkling accepts text, images and audio; GPT-5.1 accepts text and images. Claude Opus 4.5 handles the widest range of inputs.

Are any of these open source?

Inkling publishes its weights (Apache-2.0) and can be self-hosted; Claude Opus 4.5 and GPT-5.1 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: Claude Opus 4.5 May 2025, GPT-5.1 Sep 30, 2024.

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.