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Comparison · 2 models · Updated Nov 2, 2026

GPT-5.6 Terra vs Claude Haiku 5.5

Claude Haiku 5.5 comes out ahead, 83 to 67 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    GPT-5.6 Terra

    Released Jul 9, 2026

    67/100
    • ECI160.1
    • Price$2.00 / $12.00
    • Context1.05M
    Full specs Remove GPT-5.6 Terra
  2. Our pick

    Anthropic

    Claude Haiku 5.5

    Released Oct 7, 2026New

    83/100
    • ECI160.4
    • Price$0.10 / $0.50
    • Context1M
    Full specs Remove Claude Haiku 5.5

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Claude Haiku 5.5 is our pick

Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against GPT-5.6 Terra (67). It leads on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Haiku 5.5Capabilities Index (ECI): Claude Haiku 5.5 160.4 · GPT-5.6 Terra 160.1
  • Lowest priceClaude Haiku 5.5Claude Haiku 5.5 $0.20 · GPT-5.6 Terra $4.50 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.6 TerraGPT-5.6 Terra 1,050,000 · Claude Haiku 5.5 1,000,000 tokens
  • Widest inputsSame inputsGPT-5.6 Terra: Text, Images, PDFs · Claude Haiku 5.5: Text, Images, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGPT-5.6 TerraClaude Haiku 5.5
CapabilityCapabilities Index (ECI)50%8989
Price25%1880
Inputs & features15%8080
Context window10%6160
Overall100%67/10083/100
02 — Side by side

Every spec in one table

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

GPT-5.6 Terra vs Claude Haiku 5.5 specifications side by side
SpecificationGPT-5.6 TerraOpenAIClaude Haiku 5.5Anthropic
Capability
Capabilities Index (ECI)160.1160.4 (best)
ECI rank#15 of 165#14 of 165 (best)
GPQA DiamondGraduate-level science questions93.3% (best)89.7%
FrontierMath Tiers 1–3Research-level mathematics86.0% (best)75.1%
OTIS Mock AIME 2024–2025Competition mathematics99.7% (best)98.9%
SimpleQA VerifiedShort factual questions43.2% (best)23.8%
Price per million tokens
Input$2.00$0.10 (best)
Output$12.00$0.50 (best)
Cached input$0.20$0.01 (best)
Blended (3:1)$4.50$0.20 (best)
Long-context rateOver 272K: $4.00 / $18.00Over 100K: $0.50 / $2.50
Price sourceOfficial OpenAI APIOfficial Anthropic API
Limits
Context window1,050,000 tokens (best)1,000,000 tokens
Max output128,000 tokens128,000 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioNoNo
VideoNoNo
ReasoningYeslow · medium · high · xhigh · maxYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgpt-5.6-terraclaude-haiku-5-5
API providers45 (best)33
ReleasedJul 9, 2026Oct 7, 2026
Knowledge cutoffFeb 16, 2026Jun 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-5.6 Terra$44.00
  • Claude Haiku 5.5$2.00
04 — Questions

Which should you choose?

Which is better: GPT-5.6 Terra or Claude Haiku 5.5?

Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against GPT-5.6 Terra (67). It leads on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.6 Terra or Claude Haiku 5.5?

Claude Haiku 5.5 is cheaper at $0.10 input / $0.50 output per million tokens (official Anthropic API price). GPT-5.6 Terra costs $2.00 input / $12.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Claude Haiku 5.5 versus $4.50 for GPT-5.6 Terra (23× as much).

Which scores higher on benchmarks?

Claude Haiku 5.5 scores higher on the Capabilities Index (ECI): Claude Haiku 5.5 160.4 (#14 of 165) and GPT-5.6 Terra 160.1 (#15 of 165). The confidence ranges of the top two overlap (157.3–163.8 vs 157.8–163.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.6 Terra 93.3%, Claude Haiku 5.5 89.7%; FrontierMath Tiers 1–3 — GPT-5.6 Terra 86.0%, Claude Haiku 5.5 75.1%; OTIS Mock AIME 2024–2025 — GPT-5.6 Terra 99.7%, Claude Haiku 5.5 98.9%; SimpleQA Verified — GPT-5.6 Terra 43.2%, Claude Haiku 5.5 23.8%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.6 Terra and Claude Haiku 5.5 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 5.5 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?

GPT-5.6 Terra has the largest context window at 1,050,000 tokens, against 1,000,000 for Claude Haiku 5.5. Maximum output per response: GPT-5.6 Terra up to 128,000, Claude Haiku 5.5 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

GPT-5.6 Terra accepts text, images and PDFs; Claude Haiku 5.5 accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

No. GPT-5.6 Terra and Claude Haiku 5.5 are proprietary and only available through APIs and apps.

Which is newer?

Claude Haiku 5.5 is the newest, released Oct 7, 2026. GPT-5.6 Terra came out Jul 9, 2026. Knowledge cutoff: GPT-5.6 Terra Feb 16, 2026, Claude Haiku 5.5 Jun 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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