Muse Wonder vs Gemini 4 Argon
Gemini 4 Argon comes out ahead, 74 to 68 on our weighted score, and it is the cheaper option too.
Meta
Muse Wonder
68/100- ECI161.7
- Price$4.00 / $20.00
- Context1.05M
- Our pick
Google
Gemini 4 Argon
74/100- ECI166.1
- Price$2.00 / $10.00
- Context1.05M
Add a model
Make it a three-way comparison.
Gemini 4 Argon is our pick
Gemini 4 Argon is the better all-round choice, scoring 74/100 against Muse Wonder (68). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemini 4 ArgonCapabilities Index (ECI): Gemini 4 Argon 166.1 · Muse Wonder 161.7
- Lowest priceGemini 4 ArgonGemini 4 Argon $4.00 · Muse Wonder $8.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameMuse Wonder 1,048,576 · Gemini 4 Argon 1,048,576 tokens
- Widest inputsSame inputsMuse Wonder: Text, Images, PDFs, Audio, Video · Gemini 4 Argon: Text, Images, PDFs, Audio, Video
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Muse Wonder | Gemini 4 Argon |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 91 | 96 |
| Price | 25% | 7 | 20 |
| Inputs & features | 15% | 100 | 100 |
| Context window | 10% | 61 | 61 |
| Overall | 100% | 68/100 | 74/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 161.7 | 166.1 (best) |
| ECI rank | #13 of 165 | #7 of 165 (best) |
| GPQA DiamondGraduate-level science questions | — | 96.4% |
| FrontierMath Tiers 1–3Research-level mathematics | 82.1% | 86.0% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 99.4% | 100% (best) |
| SimpleQA VerifiedShort factual questions | — | 76.0% |
| Price per million tokens | ||
| Input | $4.00 | $2.00 (best) |
| Output | $20.00 | $10.00 (best) |
| Cached input | $0.20 | $0.10 (best) |
| Blended (3:1) | $8.00 | $4.00 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Meta API | Official Google API |
| Limits | ||
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Max output | 131,072 tokens (best) | 65,536 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | Yes |
| Audio | Yes | Yes |
| Video | Yes | Yes |
| Reasoning | Yesminimal · low · medium · high · xhigh · max | Yeslow · medium · high |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | muse-wonder-1.0 | gemini-4-argon |
| API providers | 9 | 24 (best) |
| Released | Oct 12, 2026 | Oct 13, 2026 |
| Knowledge cutoff | — | Mar 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 Wonder$80.00
Gemini 4 Argon$40.00
Which should you choose?
Which is better: Muse Wonder or Gemini 4 Argon?
Gemini 4 Argon is the better all-round choice, scoring 74/100 against Muse Wonder (68). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Muse Wonder or Gemini 4 Argon?
Gemini 4 Argon is cheaper at $2.00 input / $10.00 output per million tokens (official Google API price). Muse Wonder costs $4.00 input / $20.00 output per million tokens (official Meta API price). At a typical mix of three input tokens to one output token, that is $4.00 per million tokens for Gemini 4 Argon versus $8.00 for Muse Wonder (2× as much).
Which scores higher on benchmarks?
Gemini 4 Argon scores higher on the Capabilities Index (ECI): Gemini 4 Argon 166.1 (#7 of 165) and Muse Wonder 161.7 (#13 of 165). The confidence ranges of the top two overlap (163.1–170.3 vs 159.2–164.6), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — Gemini 4 Argon 86.0%, Muse Wonder 82.1%; OTIS Mock AIME 2024–2025 — Gemini 4 Argon 100%, Muse Wonder 99.4%.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Wonder and Gemini 4 Argon yet, so there is no like-for-like coding score. On overall capability, Gemini 4 Argon 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?
Muse Wonder and Gemini 4 Argon share the same 1,048,576-token context window. Maximum output per response: Muse Wonder up to 131,072, Gemini 4 Argon up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Muse Wonder accepts text, images, PDFs, audio and video; Gemini 4 Argon accepts text, images, PDFs, audio and video. They handle the same number of input types.
Are any of these open source?
No. Muse Wonder and Gemini 4 Argon are proprietary and only available through APIs and apps.
Which is newer?
Gemini 4 Argon is the newest, released Oct 13, 2026. Muse Wonder came out Oct 12, 2026. Knowledge cutoff: Gemini 4 Argon Mar 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.