GPT-6 Astra vs Muse Spark 1.3 vs Claude Opus 5.5
Muse Spark 1.3 comes out ahead, 73 to 70 and 68 on our weighted score, and it is the cheaper option too.
OpenAI
GPT-6 Astra
68/100- ECI166.5
- Price$10.00 / $50.00
- Context1.05M
- Our pick
Meta
Muse Spark 1.3
73/100- ECI156.9
- Price$1.25 / $4.25
- Context1.05M
Anthropic
Claude Opus 5.5
70/100- ECI167.4
- Price$4.00 / $20.00
- Context1M
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 1.3GPT-6 Astra: Text, Images, PDFs · Muse Spark 1.3: Text, Images, PDFs, Audio, Video · Claude Opus 5.5: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-6 Astra | Muse Spark 1.3 | Claude Opus 5.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 99 | 87 | 100 |
| Price | 25% | 0 | 36 | 7 |
| Inputs & features | 15% | 80 | 100 | 80 |
| Context window | 10% | 61 | 61 | 60 |
| Overall | 100% | 68/100 | 73/100 | 70/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 166.5 | 156.9 | 167.4 (best) |
| ECI rank | #2 of 148 | #17 of 148 | #1 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 95.8% (best) | — | 90.6% |
| FrontierMath Tiers 1–3Research-level mathematics | 93.7% (best) | 74.4% | 91.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% (best) | 99.2% | 100% (best) |
| SimpleQA VerifiedShort factual questions | 75.6% (best) | — | 72.2% |
| Price per million tokens | |||
| Input | $10.00 | $1.25 (best) | $4.00 |
| Output | $50.00 | $4.25 (best) | $20.00 |
| Cached input | $1.00 | $0.15 (best) | $0.20 |
| Blended (3:1) | $20.00 | $2.00 (best) | $8.00 |
| Long-context rate | Over 272K: $20.00 / $75.00 | Same rate | Same rate |
| Price source | Official OpenAI API | Official Meta API | Official Anthropic API |
| Limits | |||
| Context window | 1,050,000 tokens (best) | 1,048,576 tokens | 1,000,000 tokens |
| Max output | 128,000 tokens | 131,072 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yeslow · medium · high · xhigh · max | Yesminimal · low · medium · high · xhigh · max | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-6-astra | muse-spark-1.3 | claude-opus-5-5 |
| API providers | 26 | 12 | 28 (best) |
| Released | Sep 4, 2026 | Sep 2, 2026 | Sep 22, 2026 |
| Knowledge cutoff | Apr 30, 2026 | — | Jun 2026 |
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 Astra$200.00
Muse Spark 1.3$21.00
Claude Opus 5.5$80.00
Which should you choose?
Which is better: GPT-6 Astra, Muse Spark 1.3 or Claude Opus 5.5?
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, GPT-6 Astra, Muse Spark 1.3 or Claude Opus 5.5?
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 — GPT-6 Astra 100%, Claude Opus 5.5 100%, Muse Spark 1.3 99.2%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-6 Astra, Muse Spark 1.3 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 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: GPT-6 Astra up to 128,000, Muse Spark 1.3 up to 131,072, Claude Opus 5.5 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GPT-6 Astra accepts text, images and PDFs; Muse Spark 1.3 accepts text, images, PDFs, audio and video; Claude Opus 5.5 accepts text, images and PDFs. Muse Spark 1.3 handles the widest range of inputs.
Are any of these open source?
No. GPT-6 Astra, Muse Spark 1.3 and Claude Opus 5.5 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: GPT-6 Astra 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 Oct 4, 2026.