Muse Spark 1.3 vs GPT-6.1 Sol vs Gemini 3.8 Flash
Too close to call on our weighted score (Muse Spark 1.3 73, Gemini 3.8 Flash 73, GPT-6.1 Sol 72). The right pick depends on what you value most.
MetaMuse Spark 1.3
73/100- ECI156.9
- Price$1.25 / $4.25
- Context1.05M
OpenAIGPT-6.1 Sol
72/100- ECI—
- Price$2.00 / $10.00
- Context1.05M
GoogleGemini 3.8 Flash
73/100- ECI156.9
- Price$0.75 / $3.75
- Context1.05M
Too close to call
It is close. Our weighted score puts them within a point (Muse Spark 1.3 73/100, Gemini 3.8 Flash 73/100, GPT-6.1 Sol 72/100), so choose by what matters most for your work: GPT-6.1 Sol for raw capability and Gemini 3.8 Flash on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (FrontierMath Tiers 1–3 and OTIS Mock AIME 2024–2025), because GPT-6.1 Sol has no Capabilities Index score yet.
- CapabilityGPT-6.1 SolShared benchmarks: GPT-6.1 Sol 96.8% · Muse Spark 1.3 86.8% · Gemini 3.8 Flash 83.7%
- Lowest priceGemini 3.8 FlashGemini 3.8 Flash $1.50 · Muse Spark 1.3 $2.00 · GPT-6.1 Sol $4.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameGPT-6.1 Sol 1,050,000 · Muse Spark 1.3 1,048,576 · Gemini 3.8 Flash 1,048,576 tokens
- Widest inputsMuse Spark 1.3 and Gemini 3.8 FlashMuse Spark 1.3: Text, Images, PDFs, Audio, Video · GPT-6.1 Sol: Text, Images, PDFs · Gemini 3.8 Flash: Text, Images, PDFs, Audio, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Muse Spark 1.3 | GPT-6.1 Sol | Gemini 3.8 Flash |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 87 | 97 | 84 |
| Price | 25% | 36 | 21 | 42 |
| Inputs & features | 15% | 100 | 80 | 100 |
| Context window | 10% | 61 | 61 | 61 |
| Overall | 100% | 73/100 | 72/100 | 73/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Muse Spark 1.3Meta | GPT-6.1 SolOpenAI | Gemini 3.8 FlashGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 156.9 | — | 156.9 (best) |
| ECI rank | #17 of 148 | — | #15 of 148 (best) |
| GPQA DiamondGraduate-level science questions | — | 95.4% | 95.4% |
| FrontierMath Tiers 1–3Research-level mathematics | 74.4% | 93.7% (best) | 68.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | 99.2% | 100% (best) | 98.9% |
| SimpleQA VerifiedShort factual questions | — | 73.9% (best) | 69.7% |
| Price per million tokens | |||
| Input | $1.25 | $2.00 | $0.75 (best) |
| Output | $4.25 | $10.00 | $3.75 (best) |
| Cached input | $0.15 | $0.10 | $0.075 (best) |
| Blended (3:1) | $2.00 | $4.00 | $1.50 (best) |
| Long-context rate | Same rate | Over 272K: $4.00 / $15.00 | Same rate |
| Price source | Official Meta API | Official OpenAI API | Official Google API |
| Limits | |||
| Context window | 1,048,576 tokens | 1,050,000 tokens (best) | 1,048,576 tokens |
| Max output | 131,072 tokens (best) | 128,000 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | Yes | No | Yes |
| Video | Yes | No | Yes |
| Reasoning | Yesminimal · low · medium · high · xhigh · max | Yeslow · medium · high · xhigh · max | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | muse-spark-1.3 | gpt-6.1-sol | gemini-3.8-flash |
| API providers | 12 | 21 (best) | 21 (best) |
| Released | Sep 2, 2026 | Sep 29, 2026 | Sep 2, 2026 |
| Knowledge cutoff | — | Apr 30, 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Muse Spark 1.3$21.00
- GPT-6.1 Sol$40.00
- Gemini 3.8 Flash$15.00
Which should you choose?
Which is better: Muse Spark 1.3, GPT-6.1 Sol or Gemini 3.8 Flash?
It is close. Our weighted score puts them within a point (Muse Spark 1.3 73/100, Gemini 3.8 Flash 73/100, GPT-6.1 Sol 72/100), so choose by what matters most for your work: GPT-6.1 Sol for raw capability and Gemini 3.8 Flash on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (FrontierMath Tiers 1–3 and OTIS Mock AIME 2024–2025), because GPT-6.1 Sol has no Capabilities Index score yet.
Which is cheaper, Muse Spark 1.3, GPT-6.1 Sol or Gemini 3.8 Flash?
Gemini 3.8 Flash is cheaper at $0.75 input / $3.75 output per million tokens (official Google API price). Muse Spark 1.3 costs $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). At a typical mix of three input tokens to one output token, that is $1.50 per million tokens for Gemini 3.8 Flash versus $2.00 for Muse Spark 1.3 (1.3× as much) and $4.00 for GPT-6.1 Sol (2.7× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (FrontierMath Tiers 1–3 and OTIS Mock AIME 2024–2025): GPT-6.1 Sol 96.8%, Muse Spark 1.3 86.8% and Gemini 3.8 Flash 83.7%. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-6.1 Sol 93.7%, Muse Spark 1.3 74.4%, Gemini 3.8 Flash 68.4%; OTIS Mock AIME 2024–2025 — GPT-6.1 Sol 100%, Muse Spark 1.3 99.2%, Gemini 3.8 Flash 98.9%.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Spark 1.3, GPT-6.1 Sol and Gemini 3.8 Flash yet, so there is no like-for-like coding score. On overall capability, GPT-6.1 Sol 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?
Their context windows are effectively the same size: Muse Spark 1.3 1,048,576, GPT-6.1 Sol 1,050,000 and Gemini 3.8 Flash 1,048,576 tokens. Maximum output per response: Muse Spark 1.3 up to 131,072, GPT-6.1 Sol up to 128,000, Gemini 3.8 Flash up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Muse Spark 1.3 accepts text, images, PDFs, audio and video; GPT-6.1 Sol accepts text, images and PDFs; Gemini 3.8 Flash accepts text, images, PDFs, audio and video. Muse Spark 1.3 handles the widest range of inputs.
Are any of these open source?
No. Muse Spark 1.3, GPT-6.1 Sol and Gemini 3.8 Flash are proprietary and only available through APIs and apps.
Which is newer?
GPT-6.1 Sol is the newest, released Sep 29, 2026. Muse Spark 1.3 came out Sep 2, 2026; Gemini 3.8 Flash came out Sep 2, 2026. Knowledge cutoff: GPT-6.1 Sol 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.
