GPT-6.1 Terra vs Muse Spark 1.2
GPT-6.1 Terra comes out ahead, 76 to 71 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 1.2
71/100- ECI155.2
- Price$1.25 / $4.25
- Context1.05M
Add a model
Make it a three-way comparison.
GPT-6.1 Terra is our pick
GPT-6.1 Terra is the better all-round choice, scoring 76/100 against Muse Spark 1.2 (71). It leads on capability. Muse Spark 1.2 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 · Muse Spark 1.2 155.2
- Lowest priceSame priceGPT-6.1 Terra $2.00 · Muse Spark 1.2 $2.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameGPT-6.1 Terra 1,050,000 · Muse Spark 1.2 1,048,576 tokens
- Widest inputsMuse Spark 1.2GPT-6.1 Terra: Text, Images, PDFs · Muse Spark 1.2: Text, Images, PDFs, Audio, Video
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | GPT-6.1 Terra | Muse Spark 1.2 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 99 | 83 |
| Price | 25% | 34 | 34 |
| Inputs & features | 15% | 80 | 100 |
| Context window | 10% | 61 | 61 |
| Overall | 100% | 76/100 | 71/100 |
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) | 155.2 |
| ECI rank | #3 of 165 (best) | #38 of 165 |
| GPQA DiamondGraduate-level science questions | 94.3% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 90.9% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% | — |
| SimpleQA VerifiedShort factual questions | 57.3% | 60.3% (best) |
| Price per million tokens | ||
| Input | $1.00 (best) | $1.25 |
| Output | $5.00 | $4.25 (best) |
| Cached input | $0.05 (best) | $0.15 |
| Blended (3:1) | $2.00 | $2.00 |
| Long-context rate | Over 272K: $2.00 / $7.50 | Same rate |
| Price source | Official OpenAI API | Official Meta API |
| Limits | ||
| Context window | 1,050,000 tokens (best) | 1,048,576 tokens |
| Max output | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | Yes |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | Yeslow · medium · high · xhigh · max | Yesminimal · low · medium · high · xhigh |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | gpt-6.1-terra | muse-spark-1.2 |
| API providers | 22 (best) | 18 |
| Released | Oct 26, 2026 | Aug 5, 2026 |
| Knowledge cutoff | Jun 1, 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 1.2$21.00
Which should you choose?
Which is better: GPT-6.1 Terra or Muse Spark 1.2?
GPT-6.1 Terra is the better all-round choice, scoring 76/100 against Muse Spark 1.2 (71). It leads on capability. Muse Spark 1.2 wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-6.1 Terra or Muse Spark 1.2?
GPT-6.1 Terra and Muse Spark 1.2 cost the same: $1.00 input / $5.00 output per million tokens.
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) and Muse Spark 1.2 155.2 (#38 of 165). Their confidence ranges do not overlap (164.9–172.9 vs 152.9–157.6), so the gap is a real one. On individual benchmarks: SimpleQA Verified — Muse Spark 1.2 60.3%, GPT-6.1 Terra 57.3%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-6.1 Terra and Muse Spark 1.2 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. Both support tool calling for agent workflows.
Which has the bigger context window?
Their context windows are effectively the same size: GPT-6.1 Terra 1,050,000 and Muse Spark 1.2 1,048,576 tokens. Maximum output per response: GPT-6.1 Terra up to 128,000, Muse Spark 1.2 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GPT-6.1 Terra accepts text, images and PDFs; Muse Spark 1.2 accepts text, images, PDFs, audio and video. Muse Spark 1.2 handles the widest range of inputs.
Are any of these open source?
No. GPT-6.1 Terra and Muse Spark 1.2 are proprietary and only available through APIs and apps.
Which is newer?
GPT-6.1 Terra is the newest, released Oct 26, 2026. Muse Spark 1.2 came out Aug 5, 2026. Knowledge cutoff: GPT-6.1 Terra Jun 1, 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.