GPT-6.1 Terra vs Muse Spark 1.3 vs Claude Sonnet 5.5
GPT-6.1 Terra comes out ahead, 76 to 72 and 72 on our weighted score.
- Our pick
OpenAI
GPT-6.1 Terra
76/100- ECI168.1
- Price$1.00 / $5.00
- Context1.05M
Meta
Muse Spark 1.3
72/100- ECI157.4
- Price$1.25 / $4.25
- Context1.05M
Anthropic
Claude Sonnet 5.5
72/100- ECI166.7
- Price$2.00 / $10.00
- Context1M
GPT-6.1 Terra is our pick
GPT-6.1 Terra is the better all-round choice, scoring 76/100 against Muse Spark 1.3 (72) and Claude Sonnet 5.5 (72). It leads on capability. Muse Spark 1.3 wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-6.1 TerraCapabilities Index (ECI): GPT-6.1 Terra 168.1 · Claude Sonnet 5.5 166.7 · Muse Spark 1.3 157.4
- Lowest priceGPT-6.1 Terra and Muse Spark 1.3GPT-6.1 Terra $2.00 · Muse Spark 1.3 $2.00 · Claude Sonnet 5.5 $4.00 per 1M tokens (3:1 blend)
- Longest contextGPT-6.1 Terra and Muse Spark 1.3GPT-6.1 Terra 1,050,000 · Muse Spark 1.3 1,048,576 · Claude Sonnet 5.5 1,000,000 tokens
- Widest inputsMuse Spark 1.3GPT-6.1 Terra: Text, Images, PDFs · Muse Spark 1.3: Text, Images, PDFs, Audio, Video · Claude Sonnet 5.5: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-6.1 Terra | Muse Spark 1.3 | Claude Sonnet 5.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 99 | 86 | 97 |
| Price | 25% | 34 | 34 | 20 |
| Inputs & features | 15% | 80 | 100 | 80 |
| Context window | 10% | 61 | 61 | 60 |
| Overall | 100% | 76/100 | 72/100 | 72/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 168.1 (best) | 157.4 | 166.7 |
| ECI rank | #3 of 165 (best) | #24 of 165 | #5 of 165 |
| GPQA DiamondGraduate-level science questions | 94.3% | — | 95.6% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 90.9% (best) | 74.4% | 88.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% (best) | 99.2% | 100% (best) |
| SimpleQA VerifiedShort factual questions | 57.3% (best) | — | 46.5% |
| Price per million tokens | |||
| Input | $1.00 (best) | $1.25 | $2.00 |
| Output | $5.00 | $4.25 (best) | $10.00 |
| Cached input | $0.05 (best) | $0.15 | $0.10 |
| Blended (3:1) | $2.00 (best) | $2.00 (best) | $4.00 |
| Long-context rate | Over 272K: $2.00 / $7.50 | 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-6.1-terra | muse-spark-1.3 | claude-sonnet-5-5 |
| API providers | 22 | 17 | 34 (best) |
| Released | Oct 26, 2026 | Sep 2, 2026 | Sep 28, 2026 |
| Knowledge cutoff | Jun 1, 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-6.1 Terra$20.00
Muse Spark 1.3$21.00
Claude Sonnet 5.5$40.00
Which should you choose?
Which is better: GPT-6.1 Terra, Muse Spark 1.3 or Claude Sonnet 5.5?
GPT-6.1 Terra is the better all-round choice, scoring 76/100 against Muse Spark 1.3 (72) and Claude Sonnet 5.5 (72). It leads on capability. Muse Spark 1.3 wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-6.1 Terra, Muse Spark 1.3 or Claude Sonnet 5.5?
GPT-6.1 Terra is cheaper at $1.00 input / $5.00 output per million tokens (official OpenAI API price). Muse Spark 1.3 costs $1.25 input / $4.25 output per million tokens (official Meta API price); Claude Sonnet 5.5 costs $2.00 input / $10.00 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 GPT-6.1 Terra versus $2.00 for Muse Spark 1.3 (1× as much) and $4.00 for Claude Sonnet 5.5 (2× as much).
Which scores higher on benchmarks?
GPT-6.1 Terra scores higher on the Capabilities Index (ECI): GPT-6.1 Terra 168.1 (#3 of 165), Claude Sonnet 5.5 166.7 (#5 of 165) and Muse Spark 1.3 157.4 (#24 of 165). The confidence ranges of the top two overlap (164.9–172.9 vs 163.6–171.3), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-6.1 Terra 90.9%, Claude Sonnet 5.5 88.8%, Muse Spark 1.3 74.4%; OTIS Mock AIME 2024–2025 — GPT-6.1 Terra 100%, Claude Sonnet 5.5 100%, Muse Spark 1.3 99.2%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-6.1 Terra, Muse Spark 1.3 and Claude Sonnet 5.5 yet, so there is no like-for-like coding score. On overall capability, GPT-6.1 Terra 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 Terra and Muse Spark 1.3 have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for Claude Sonnet 5.5. Maximum output per response: GPT-6.1 Terra up to 128,000, Muse Spark 1.3 up to 131,072, Claude Sonnet 5.5 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GPT-6.1 Terra accepts text, images and PDFs; Muse Spark 1.3 accepts text, images, PDFs, audio and video; Claude Sonnet 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-6.1 Terra, Muse Spark 1.3 and Claude Sonnet 5.5 are proprietary and only available through APIs and apps.
Which is newer?
GPT-6.1 Terra is the newest, released Oct 26, 2026. Claude Sonnet 5.5 came out Sep 28, 2026; Muse Spark 1.3 came out Sep 2, 2026. Knowledge cutoff: GPT-6.1 Terra Jun 1, 2026, Claude Sonnet 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.