ZMIME
Comparison · 3 models · Updated Nov 2, 2026

GPT-6.1 Sol vs Muse Spark 1.2 vs Claude Opus 5.5

Too close to call on our weighted score (GPT-6.1 Sol 72, Muse Spark 1.2 71, Claude Opus 5.5 69). The right pick depends on what you value most.

  1. OpenAI

    GPT-6.1 Sol

    Released Sep 29, 2026New

    72/100
    • ECI167.8
    • Price$2.00 / $10.00
    • Context1.05M
  2. Meta

    Muse Spark 1.2

    Released Aug 5, 2026

    71/100
    • ECI155.2
    • Price$1.25 / $4.25
    • Context1.05M
  3. Anthropic

    Claude Opus 5.5

    Released Sep 22, 2026New

    69/100
    • ECI168.4
    • Price$4.00 / $20.00
    • Context1M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (GPT-6.1 Sol 72/100, Muse Spark 1.2 71/100, Claude Opus 5.5 69/100), so choose by what matters most for your work: Claude Opus 5.5 for raw capability and Muse Spark 1.2 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Opus 5.5Capabilities Index (ECI): Claude Opus 5.5 168.4 · GPT-6.1 Sol 167.8 · Muse Spark 1.2 155.2
  • Lowest priceMuse Spark 1.2Muse Spark 1.2 $2.00 · GPT-6.1 Sol $4.00 · Claude Opus 5.5 $8.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-6.1 Sol and Muse Spark 1.2GPT-6.1 Sol 1,050,000 · Muse Spark 1.2 1,048,576 · Claude Opus 5.5 1,000,000 tokens
  • Widest inputsMuse Spark 1.2GPT-6.1 Sol: Text, Images, PDFs · Muse Spark 1.2: Text, Images, PDFs, Audio, Video · Claude Opus 5.5: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-6.1 SolMuse Spark 1.2Claude Opus 5.5
CapabilityCapabilities Index (ECI)50%998399
Price25%20347
Inputs & features15%8010080
Context window10%616160
Overall100%72/10071/10069/100
02 — Side by side

Every spec in one table

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

GPT-6.1 Sol vs Muse Spark 1.2 vs Claude Opus 5.5 specifications side by side
SpecificationGPT-6.1 SolOpenAIMuse Spark 1.2MetaClaude Opus 5.5Anthropic
Capability
Capabilities Index (ECI)167.8155.2168.4 (best)
ECI rank#4 of 165#38 of 165#2 of 165 (best)
GPQA DiamondGraduate-level science questions95.4% (best)—90.6%
FrontierMath Tiers 1–3Research-level mathematics93.7% (best)—91.2%
OTIS Mock AIME 2024–2025Competition mathematics100%—100%
SimpleQA VerifiedShort factual questions73.9% (best)60.3%72.2%
Price per million tokens
Input$2.00$1.25 (best)$4.00
Output$10.00$4.25 (best)$20.00
Cached input$0.10 (best)$0.15$0.20
Blended (3:1)$4.00$2.00 (best)$8.00
Long-context rateOver 272K: $4.00 / $15.00Same rateSame rate
Price sourceOfficial OpenAI APIOfficial Meta APIOfficial Anthropic API
Limits
Context window1,050,000 tokens (best)1,048,576 tokens1,000,000 tokens
Max output128,000 tokens131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoYesNo
VideoNoYesNo
ReasoningYeslow · medium · high · xhigh · maxYesminimal · low · medium · high · xhighYeslow · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgpt-6.1-solmuse-spark-1.2claude-opus-5-5
API providers331836 (best)
ReleasedSep 29, 2026Aug 5, 2026Sep 22, 2026
Knowledge cutoffApr 30, 2026—Jun 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-6.1 Sol$40.00
  • Muse Spark 1.2$21.00
  • Claude Opus 5.5$80.00
04 — Questions

Which should you choose?

Which is better: GPT-6.1 Sol, Muse Spark 1.2 or Claude Opus 5.5?

It is close. Our weighted score puts them within 1 points (GPT-6.1 Sol 72/100, Muse Spark 1.2 71/100, Claude Opus 5.5 69/100), so choose by what matters most for your work: Claude Opus 5.5 for raw capability and Muse Spark 1.2 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-6.1 Sol, Muse Spark 1.2 or Claude Opus 5.5?

Muse Spark 1.2 is cheaper at $1.25 input / $4.25 output per million tokens (official Meta API price). GPT-6.1 Sol costs $2.00 input / $10.00 output per million tokens (official OpenAI API price); Claude Opus 5.5 costs $4.00 input / $20.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Muse Spark 1.2 versus $4.00 for GPT-6.1 Sol (2× as much) and $8.00 for Claude Opus 5.5 (4× as much).

Which scores higher on benchmarks?

Claude Opus 5.5 scores higher on the Capabilities Index (ECI): Claude Opus 5.5 168.4 (#2 of 165), GPT-6.1 Sol 167.8 (#4 of 165) and Muse Spark 1.2 155.2 (#38 of 165). The confidence ranges of the top two overlap (165.4–173.0 vs 164.3–172.5), so treat the gap as small. On individual benchmarks: SimpleQA Verified — GPT-6.1 Sol 73.9%, Claude Opus 5.5 72.2%, Muse Spark 1.2 60.3%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-6.1 Sol, Muse Spark 1.2 and Claude Opus 5.5 yet, so there is no like-for-like coding score. On overall capability, Claude Opus 5.5 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-6.1 Sol and Muse Spark 1.2 have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for Claude Opus 5.5. Maximum output per response: GPT-6.1 Sol up to 128,000, Muse Spark 1.2 up to 131,072, Claude Opus 5.5 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

GPT-6.1 Sol accepts text, images and PDFs; Muse Spark 1.2 accepts text, images, PDFs, audio and video; Claude Opus 5.5 accepts text, images and PDFs. Muse Spark 1.2 handles the widest range of inputs.

Are any of these open source?

No. GPT-6.1 Sol, Muse Spark 1.2 and Claude Opus 5.5 are proprietary and only available through APIs and apps.

Which is newer?

GPT-6.1 Sol is the newest, released Sep 29, 2026. Claude Opus 5.5 came out Sep 22, 2026; Muse Spark 1.2 came out Aug 5, 2026. Knowledge cutoff: GPT-6.1 Sol Apr 30, 2026, Claude Opus 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.