ZMIME
Comparison · 3 models · Updated Nov 2, 2026

GPT-5.6 Sol vs Claude Haiku 5.5 vs Muse Wonder

Claude Haiku 5.5 comes out ahead, 83 to 68 and 66 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    66/100
    • ECI162.6
    • Price$4.00 / $20.00
    • Context1.05M
  2. Our pick

    Anthropic

    Claude Haiku 5.5

    Released Oct 7, 2026New

    83/100
    • ECI160.4
    • Price$0.10 / $0.50
    • Context1M
  3. Meta

    Muse Wonder

    Released Oct 12, 2026New

    68/100
    • ECI161.7
    • Price$4.00 / $20.00
    • Context1.05M
01 — Verdict

Claude Haiku 5.5 is our pick

Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against Muse Wonder (68) and GPT-5.6 Sol (66). It leads on price. Muse Wonder wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.6 SolCapabilities Index (ECI): GPT-5.6 Sol 162.6 · Muse Wonder 161.7 · Claude Haiku 5.5 160.4
  • Lowest priceClaude Haiku 5.5Claude Haiku 5.5 $0.20 · GPT-5.6 Sol $8.00 · Muse Wonder $8.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.6 Sol and Muse WonderGPT-5.6 Sol 1,050,000 · Muse Wonder 1,048,576 · Claude Haiku 5.5 1,000,000 tokens
  • Widest inputsMuse WonderGPT-5.6 Sol: Text, Images, PDFs · Claude Haiku 5.5: Text, Images, PDFs · Muse Wonder: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-5.6 SolClaude Haiku 5.5Muse Wonder
CapabilityCapabilities Index (ECI)50%928991
Price25%7807
Inputs & features15%8080100
Context window10%616061
Overall100%66/10083/10068/100
02 — Side by side

Every spec in one table

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

GPT-5.6 Sol vs Claude Haiku 5.5 vs Muse Wonder specifications side by side
SpecificationGPT-5.6 SolOpenAIClaude Haiku 5.5AnthropicMuse WonderMeta
Capability
Capabilities Index (ECI)162.6 (best)160.4161.7
ECI rank#12 of 165 (best)#14 of 165#13 of 165
GPQA DiamondGraduate-level science questions93.5% (best)89.7%—
FrontierMath Tiers 1–3Research-level mathematics89.1% (best)75.1%82.1%
OTIS Mock AIME 2024–2025Competition mathematics100% (best)98.9%99.4%
SimpleQA VerifiedShort factual questions69.7% (best)23.8%—
Price per million tokens
Input$4.00$0.10 (best)$4.00
Output$20.00$0.50 (best)$20.00
Cached input$0.40$0.01 (best)$0.20
Blended (3:1)$8.00$0.20 (best)$8.00
Long-context rateOver 272K: $8.00 / $30.00Over 100K: $0.50 / $2.50Same rate
Price sourceOfficial OpenAI APIOfficial Anthropic APIOfficial Meta API
Limits
Context window1,050,000 tokens (best)1,000,000 tokens1,048,576 tokens
Max output128,000 tokens128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoNoYes
VideoNoNoYes
ReasoningYeslow · medium · high · xhigh · maxYeslow · medium · high · xhigh · maxYesminimal · low · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgpt-5.6-solclaude-haiku-5-5muse-wonder-1.0
API providers49 (best)339
ReleasedJul 9, 2026Oct 7, 2026Oct 12, 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 Sol$80.00
  • Claude Haiku 5.5$2.00
  • Muse Wonder$80.00
04 — Questions

Which should you choose?

Which is better: GPT-5.6 Sol, Claude Haiku 5.5 or Muse Wonder?

Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against Muse Wonder (68) and GPT-5.6 Sol (66). It leads on price. Muse Wonder wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.6 Sol, Claude Haiku 5.5 or Muse Wonder?

Claude Haiku 5.5 is cheaper at $0.10 input / $0.50 output per million tokens (official Anthropic API price). GPT-5.6 Sol costs $4.00 input / $20.00 output per million tokens (official OpenAI API price); Muse Wonder costs $4.00 input / $20.00 output per million tokens (official Meta 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 $8.00 for GPT-5.6 Sol (40× as much) and $8.00 for Muse Wonder (40× as much).

Which scores higher on benchmarks?

GPT-5.6 Sol scores higher on the Capabilities Index (ECI): GPT-5.6 Sol 162.6 (#12 of 165), Muse Wonder 161.7 (#13 of 165) and Claude Haiku 5.5 160.4 (#14 of 165). The confidence ranges of the top two overlap (159.6–166.2 vs 159.2–164.6), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-5.6 Sol 89.1%, Muse Wonder 82.1%, Claude Haiku 5.5 75.1%; OTIS Mock AIME 2024–2025 — GPT-5.6 Sol 100%, Muse Wonder 99.4%, Claude Haiku 5.5 98.9%.

Which is better for coding?

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

GPT-5.6 Sol and Muse Wonder have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for Claude Haiku 5.5. Maximum output per response: GPT-5.6 Sol up to 128,000, Claude Haiku 5.5 up to 128,000, Muse Wonder up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GPT-5.6 Sol accepts text, images and PDFs; Claude Haiku 5.5 accepts text, images and PDFs; Muse Wonder accepts text, images, PDFs, audio and video. Muse Wonder handles the widest range of inputs.

Are any of these open source?

No. GPT-5.6 Sol, Claude Haiku 5.5 and Muse Wonder are proprietary and only available through APIs and apps.

Which is newer?

Muse Wonder is the newest, released Oct 12, 2026. Claude Haiku 5.5 came out Oct 7, 2026; GPT-5.6 Sol came out Jul 9, 2026. Knowledge cutoff: GPT-5.6 Sol 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.