ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Opus 5.5 vs Muse Spark 1.3 vs GPT-6 Astra

Muse Spark 1.3 comes out ahead, 73 to 70 and 68 on our weighted score, and it is the cheaper option too.

  1. Anthropic

    Claude Opus 5.5

    Released Sep 22, 2026

    70/100
    • ECI167.4
    • Price$4.00 / $20.00
    • Context1M
  2. Our pick

    Meta

    Muse Spark 1.3

    Released Sep 2, 2026

    73/100
    • ECI156.9
    • Price$1.25 / $4.25
    • Context1.05M
  3. OpenAI

    GPT-6 Astra

    Released Sep 4, 2026

    68/100
    • ECI166.5
    • Price$10.00 / $50.00
    • Context1.05M
01 — Verdict

Muse Spark 1.3 is our pick

Muse Spark 1.3 is the better all-round choice, scoring 73/100 against Claude Opus 5.5 (70) and GPT-6 Astra (68). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Opus 5.5Capabilities Index (ECI): Claude Opus 5.5 167.4 · GPT-6 Astra 166.5 · Muse Spark 1.3 156.9
  • Lowest priceMuse Spark 1.3Muse Spark 1.3 $2.00 · Claude Opus 5.5 $8.00 · GPT-6 Astra $20.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-6 Astra and Muse Spark 1.3GPT-6 Astra 1,050,000 · Muse Spark 1.3 1,048,576 · Claude Opus 5.5 1,000,000 tokens
  • Widest inputsMuse Spark 1.3Claude Opus 5.5: Text, Images, PDFs · Muse Spark 1.3: Text, Images, PDFs, Audio, Video · GPT-6 Astra: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightClaude Opus 5.5Muse Spark 1.3GPT-6 Astra
CapabilityCapabilities Index (ECI)50%1008799
Price25%7360
Inputs & features15%8010080
Context window10%606161
Overall100%70/10073/10068/100
02 — Side by side

Every spec in one table

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

Claude Opus 5.5 vs Muse Spark 1.3 vs GPT-6 Astra specifications side by side
SpecificationClaude Opus 5.5AnthropicMuse Spark 1.3MetaGPT-6 AstraOpenAI
Capability
Capabilities Index (ECI)167.4 (best)156.9166.5
ECI rank#1 of 148 (best)#17 of 148#2 of 148
GPQA DiamondGraduate-level science questions90.6%—95.8% (best)
FrontierMath Tiers 1–3Research-level mathematics91.2%74.4%93.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics100% (best)99.2%100% (best)
SimpleQA VerifiedShort factual questions72.2%—75.6% (best)
Price per million tokens
Input$4.00$1.25 (best)$10.00
Output$20.00$4.25 (best)$50.00
Cached input$0.20$0.15 (best)$1.00
Blended (3:1)$8.00$2.00 (best)$20.00
Long-context rateSame rateSame rateOver 272K: $20.00 / $75.00
Price sourceOfficial Anthropic APIOfficial Meta APIOfficial OpenAI API
Limits
Context window1,000,000 tokens1,048,576 tokens1,050,000 tokens (best)
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 · xhigh · maxYeslow · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDclaude-opus-5-5muse-spark-1.3gpt-6-astra
API providers28 (best)1226
ReleasedSep 22, 2026Sep 2, 2026Sep 4, 2026
Knowledge cutoffJun 2026—Apr 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 Opus 5.5$80.00
  • Muse Spark 1.3$21.00
  • GPT-6 Astra$200.00
04 — Questions

Which should you choose?

Which is better: Claude Opus 5.5, Muse Spark 1.3 or GPT-6 Astra?

Muse Spark 1.3 is the better all-round choice, scoring 73/100 against Claude Opus 5.5 (70) and GPT-6 Astra (68). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Opus 5.5, Muse Spark 1.3 or GPT-6 Astra?

Muse Spark 1.3 is cheaper at $1.25 input / $4.25 output per million tokens (official Meta API price). Claude Opus 5.5 costs $4.00 input / $20.00 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 $2.00 per million tokens for Muse Spark 1.3 versus $8.00 for Claude Opus 5.5 (4× as much) and $20.00 for GPT-6 Astra (10× as much).

Which scores higher on benchmarks?

Claude Opus 5.5 scores higher on the Capabilities Index (ECI): Claude Opus 5.5 167.4 (#1 of 148), GPT-6 Astra 166.5 (#2 of 148) and Muse Spark 1.3 156.9 (#17 of 148). The confidence ranges of the top two overlap (164.0–172.0 vs 163.1–171.1), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-6 Astra 93.7%, Claude Opus 5.5 91.2%, Muse Spark 1.3 74.4%; OTIS Mock AIME 2024–2025 — Claude Opus 5.5 100%, GPT-6 Astra 100%, Muse Spark 1.3 99.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Opus 5.5, Muse Spark 1.3 and GPT-6 Astra 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 Astra and Muse Spark 1.3 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: Claude Opus 5.5 up to 128,000, Muse Spark 1.3 up to 131,072, GPT-6 Astra up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Claude Opus 5.5 accepts text, images and PDFs; Muse Spark 1.3 accepts text, images, PDFs, audio and video; GPT-6 Astra accepts text, images and PDFs. Muse Spark 1.3 handles the widest range of inputs.

Are any of these open source?

No. Claude Opus 5.5, Muse Spark 1.3 and GPT-6 Astra are proprietary and only available through APIs and apps.

Which is newer?

Claude Opus 5.5 is the newest, released Sep 22, 2026. GPT-6 Astra came out Sep 4, 2026; Muse Spark 1.3 came out Sep 2, 2026. Knowledge cutoff: Claude Opus 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 Oct 4, 2026.