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Comparison · 2 models · Updated Nov 2, 2026

Claude Haiku 5.5 vs GPT-6 Astra

Claude Haiku 5.5 comes out ahead, 83 to 68 on our weighted score, and it is the cheaper option too.

  1. 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

  2. OpenAI

    GPT-6 Astra

    Released Sep 4, 2026New

    68/100
    • ECI169.1
    • Price$10.00 / $50.00
    • Context1.05M
    Full specs Remove GPT-6 Astra

  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-6 Astra (68). It leads on price. GPT-6 Astra wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-6 AstraCapabilities Index (ECI): GPT-6 Astra 169.1 · Claude Haiku 5.5 160.4
  • Lowest priceClaude Haiku 5.5Claude Haiku 5.5 $0.20 · GPT-6 Astra $20.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-6 AstraGPT-6 Astra 1,050,000 · Claude Haiku 5.5 1,000,000 tokens
  • Widest inputsSame inputsClaude Haiku 5.5: Text, Images, PDFs · GPT-6 Astra: Text, Images, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightClaude Haiku 5.5GPT-6 Astra
CapabilityCapabilities Index (ECI)50%89100
Price25%800
Inputs & features15%8080
Context window10%6061
Overall100%83/10068/100
02 — Side by side

Every spec in one table

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

Claude Haiku 5.5 vs GPT-6 Astra specifications side by side
SpecificationClaude Haiku 5.5AnthropicGPT-6 AstraOpenAI
Capability
Capabilities Index (ECI)160.4169.1 (best)
ECI rank#14 of 165#1 of 165 (best)
GPQA DiamondGraduate-level science questions89.7%95.8% (best)
FrontierMath Tiers 1–3Research-level mathematics75.1%93.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics98.9%100% (best)
SimpleQA VerifiedShort factual questions23.8%75.6% (best)
Price per million tokens
Input$0.10 (best)$10.00
Output$0.50 (best)$50.00
Cached input$0.01 (best)$1.00
Blended (3:1)$0.20 (best)$20.00
Long-context rateOver 100K: $0.50 / $2.50Over 272K: $20.00 / $75.00
Price sourceOfficial Anthropic APIOfficial OpenAI API
Limits
Context window1,000,000 tokens1,050,000 tokens (best)
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 IDclaude-haiku-5-5gpt-6-astra
API providers3337 (best)
ReleasedOct 7, 2026Sep 4, 2026
Knowledge cutoffJun 2026Apr 30, 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.

  • Claude Haiku 5.5$2.00
  • GPT-6 Astra$200.00
04 — Questions

Which should you choose?

Which is better: Claude Haiku 5.5 or GPT-6 Astra?

Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against GPT-6 Astra (68). It leads on price. GPT-6 Astra wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Haiku 5.5 or GPT-6 Astra?

Claude Haiku 5.5 is cheaper at $0.10 input / $0.50 output per million tokens (official Anthropic API price). GPT-6 Astra costs $10.00 input / $50.00 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 $20.00 for GPT-6 Astra (100× as much).

Which scores higher on benchmarks?

GPT-6 Astra scores higher on the Capabilities Index (ECI): GPT-6 Astra 169.1 (#1 of 165) and Claude Haiku 5.5 160.4 (#14 of 165). Their confidence ranges do not overlap (165.9–174.3 vs 157.3–163.8), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-6 Astra 95.8%, Claude Haiku 5.5 89.7%; FrontierMath Tiers 1–3 — GPT-6 Astra 93.7%, Claude Haiku 5.5 75.1%; OTIS Mock AIME 2024–2025 — GPT-6 Astra 100%, Claude Haiku 5.5 98.9%; SimpleQA Verified — GPT-6 Astra 75.6%, Claude Haiku 5.5 23.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 5.5 and GPT-6 Astra yet, so there is no like-for-like coding score. On overall capability, GPT-6 Astra 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-6 Astra has the largest context window at 1,050,000 tokens, against 1,000,000 for Claude Haiku 5.5. Maximum output per response: Claude Haiku 5.5 up to 128,000, GPT-6 Astra up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Claude Haiku 5.5 accepts text, images and PDFs; GPT-6 Astra accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

No. Claude Haiku 5.5 and GPT-6 Astra are proprietary and only available through APIs and apps.

Which is newer?

Claude Haiku 5.5 is the newest, released Oct 7, 2026. GPT-6 Astra came out Sep 4, 2026. Knowledge cutoff: Claude Haiku 5.5 Jun 2026, GPT-6 Astra Apr 30, 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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