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Comparison · 2 models · Updated Nov 2, 2026

Muse Spark Open vs GPT-5.6 Sol

Too close to call on our weighted score (Muse Spark Open 68, GPT-5.6 Sol 66). The right pick depends on what you value most.

  1. Meta

    Muse Spark Open

    Released Oct 15, 2026New

    68/100
    • ECI155.1
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark Open

  2. OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    66/100
    • ECI162.6
    • Price$4.00 / $20.00
    • Context1.05M
    Full specs Remove GPT-5.6 Sol

  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 2 points (Muse Spark Open 68/100, GPT-5.6 Sol 66/100), so choose by what matters most for your work: GPT-5.6 Sol for raw capability and Muse Spark Open on price. 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 Spark Open 155.1
  • Lowest priceMuse Spark OpenMuse Spark Open $2.00 · GPT-5.6 Sol $8.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-5.6 Sol 1,050,000 · Muse Spark Open 1,048,576 tokens
  • Widest inputsMuse Spark OpenMuse Spark Open: Text, Images, Audio, Video · GPT-5.6 Sol: Text, Images, PDFs
  • Self-hostingMuse Spark OpenPublishes downloadable weights (Muse Model License)
How the score is built
MeasureWeightMuse Spark OpenGPT-5.6 Sol
CapabilityCapabilities Index (ECI)50%8392
Price25%347
Inputs & features15%8080
Context window10%6161
Overall100%68/10066/100
02 — Side by side

Every spec in one table

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

Muse Spark Open vs GPT-5.6 Sol specifications side by side
SpecificationMuse Spark OpenMetaGPT-5.6 SolOpenAI
Capability
Capabilities Index (ECI)155.1162.6 (best)
ECI rank#39 of 165#12 of 165 (best)
GPQA DiamondGraduate-level science questions88.6%93.5% (best)
FrontierMath Tiers 1–3Research-level mathematics69.8%89.1% (best)
OTIS Mock AIME 2024–2025Competition mathematics98.1%100% (best)
SimpleQA VerifiedShort factual questions56.6%69.7% (best)
Price per million tokens
Input$1.25 (best)$4.00
Output$4.25 (best)$20.00
Cached input—$0.40
Blended (3:1)$2.00 (best)$8.00
Long-context rateSame rateOver 272K: $8.00 / $30.00
Price sourceMedian of 16 providersOfficial OpenAI API
Limits
Context window1,048,576 tokens1,050,000 tokens (best)
Max output131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioYesNo
VideoYesNo
ReasoningYesYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenMuse Model LicenseProprietary
API model ID—gpt-5.6-sol
API providers1649 (best)
ReleasedOct 15, 2026Jul 9, 2026
Knowledge cutoffJan 4, 2026Feb 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.

  • Muse Spark Open$21.00
  • GPT-5.6 Sol$80.00
04 — Questions

Which should you choose?

Which is better: Muse Spark Open or GPT-5.6 Sol?

It is close. Our weighted score puts them within 2 points (Muse Spark Open 68/100, GPT-5.6 Sol 66/100), so choose by what matters most for your work: GPT-5.6 Sol for raw capability and Muse Spark Open on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark Open or GPT-5.6 Sol?

Muse Spark Open is cheaper at $1.25 input / $4.25 output per million tokens (median across 16 API providers). GPT-5.6 Sol costs $4.00 input / $20.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Muse Spark Open versus $8.00 for GPT-5.6 Sol (4× 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) and Muse Spark Open 155.1 (#39 of 165). Their confidence ranges do not overlap (159.6–166.2 vs 153.1–157.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-5.6 Sol 93.5%, Muse Spark Open 88.6%; FrontierMath Tiers 1–3 — GPT-5.6 Sol 89.1%, Muse Spark Open 69.8%; OTIS Mock AIME 2024–2025 — GPT-5.6 Sol 100%, Muse Spark Open 98.1%; SimpleQA Verified — GPT-5.6 Sol 69.7%, Muse Spark Open 56.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark Open and GPT-5.6 Sol 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. Both support tool calling for agent workflows.

Which has the bigger context window?

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

Which can read images, PDFs, audio or video?

Muse Spark Open accepts text, images, audio and video; GPT-5.6 Sol accepts text, images and PDFs. Muse Spark Open handles the widest range of inputs.

Are any of these open source?

Muse Spark Open publishes its weights (Muse Model License) and can be self-hosted; GPT-5.6 Sol is proprietary.

Which is newer?

Muse Spark Open is the newest, released Oct 15, 2026. GPT-5.6 Sol came out Jul 9, 2026. Knowledge cutoff: Muse Spark Open Jan 4, 2026, GPT-5.6 Sol 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

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