ZMIME
Comparison · 2 models · Updated Nov 2, 2026

GPT-5.6 Terra vs Muse Wonder

Too close to call on our weighted score (Muse Wonder 68, GPT-5.6 Terra 67). The right pick depends on what you value most.

  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. Meta

    Muse Wonder

    Released Oct 12, 2026New

    68/100
    • ECI161.7
    • Price$4.00 / $20.00
    • Context1.05M
    Full specs Remove Muse Wonder

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Muse Wonder 68/100, GPT-5.6 Terra 67/100), so choose by what matters most for your work: Muse Wonder for raw capability and GPT-5.6 Terra on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMuse WonderCapabilities Index (ECI): Muse Wonder 161.7 · GPT-5.6 Terra 160.1
  • Lowest priceGPT-5.6 TerraGPT-5.6 Terra $4.50 · Muse Wonder $8.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-5.6 Terra 1,050,000 · Muse Wonder 1,048,576 tokens
  • Widest inputsMuse WonderGPT-5.6 Terra: Text, Images, PDFs · Muse Wonder: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGPT-5.6 TerraMuse Wonder
CapabilityCapabilities Index (ECI)50%8991
Price25%187
Inputs & features15%80100
Context window10%6161
Overall100%67/10068/100
02 — Side by side

Every spec in one table

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

GPT-5.6 Terra vs Muse Wonder specifications side by side
SpecificationGPT-5.6 TerraOpenAIMuse WonderMeta
Capability
Capabilities Index (ECI)160.1161.7 (best)
ECI rank#15 of 165#13 of 165 (best)
GPQA DiamondGraduate-level science questions93.3%—
FrontierMath Tiers 1–3Research-level mathematics86.0% (best)82.1%
OTIS Mock AIME 2024–2025Competition mathematics99.7% (best)99.4%
SimpleQA VerifiedShort factual questions43.2%—
Price per million tokens
Input$2.00 (best)$4.00
Output$12.00 (best)$20.00
Cached input$0.20$0.20
Blended (3:1)$4.50 (best)$8.00
Long-context rateOver 272K: $4.00 / $18.00Same rate
Price sourceOfficial OpenAI APIOfficial Meta API
Limits
Context window1,050,000 tokens (best)1,048,576 tokens
Max output128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioNoYes
VideoNoYes
ReasoningYeslow · medium · high · xhigh · maxYesminimal · low · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgpt-5.6-terramuse-wonder-1.0
API providers45 (best)9
ReleasedJul 9, 2026Oct 12, 2026
Knowledge cutoffFeb 16, 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
  • Muse Wonder$80.00
04 — Questions

Which should you choose?

Which is better: GPT-5.6 Terra or Muse Wonder?

It is close. Our weighted score puts them within 1 points (Muse Wonder 68/100, GPT-5.6 Terra 67/100), so choose by what matters most for your work: Muse Wonder for raw capability and GPT-5.6 Terra on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.6 Terra or Muse Wonder?

GPT-5.6 Terra is cheaper at $2.00 input / $12.00 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 $4.50 per million tokens for GPT-5.6 Terra versus $8.00 for Muse Wonder (1.8× as much).

Which scores higher on benchmarks?

Muse Wonder scores higher on the Capabilities Index (ECI): Muse Wonder 161.7 (#13 of 165) and GPT-5.6 Terra 160.1 (#15 of 165). The confidence ranges of the top two overlap (159.2–164.6 vs 157.8–163.4), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-5.6 Terra 86.0%, Muse Wonder 82.1%; OTIS Mock AIME 2024–2025 — GPT-5.6 Terra 99.7%, Muse Wonder 99.4%.

Which is better for coding?

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

Their context windows are effectively the same size: GPT-5.6 Terra 1,050,000 and Muse Wonder 1,048,576 tokens. Maximum output per response: GPT-5.6 Terra up to 128,000, Muse Wonder up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GPT-5.6 Terra 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 Terra and Muse Wonder are proprietary and only available through APIs and apps.

Which is newer?

Muse Wonder is the newest, released Oct 12, 2026. GPT-5.6 Terra came out Jul 9, 2026. Knowledge cutoff: GPT-5.6 Terra Feb 16, 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

Related comparisons