Gemini 4 Argon vs Muse Wonder
Gemini 4 Argon comes out ahead, 74 to 68 on our weighted score, and it is the cheaper option too.
- Our pick
GoogleGemini 4 Argon
74/100- ECI166.1
- Price$2.00 / $10.00
- Context1.05M
MetaMuse Wonder
68/100- ECI161.7
- Price$4.00 / $20.00
- 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 sameGemini 4 Argon 1,048,576 · Muse Wonder 1,048,576 tokens
- Widest inputsSame inputsGemini 4 Argon: Text, Images, PDFs, Audio, Video · Muse Wonder: Text, Images, PDFs, Audio, Video
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Gemini 4 Argon | Muse Wonder |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 96 | 91 |
| Price | 25% | 20 | 7 |
| Inputs & features | 15% | 100 | 100 |
| Context window | 10% | 61 | 61 |
| Overall | 100% | 74/100 | 68/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 4 ArgonGoogle | Muse WonderMeta |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 166.1 (best) | 161.7 |
| ECI rank | #7 of 165 (best) | #13 of 165 |
| GPQA DiamondGraduate-level science questions | 96.4% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 86.0% (best) | 82.1% |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% (best) | 99.4% |
| SimpleQA VerifiedShort factual questions | 76.0% | — |
| Price per million tokens | ||
| Input | $2.00 (best) | $4.00 |
| Output | $10.00 (best) | $20.00 |
| Cached input | $0.10 (best) | $0.20 |
| Blended (3:1) | $4.00 (best) | $8.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Google API | Official Meta API |
| Limits | ||
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Max output | 65,536 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | Yes |
| Audio | Yes | Yes |
| Video | Yes | Yes |
| Reasoning | Yeslow · medium · high | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | gemini-4-argon | muse-wonder-1.0 |
| API providers | 24 (best) | 9 |
| Released | Oct 13, 2026 | Oct 12, 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.
- Gemini 4 Argon$40.00
- Muse Wonder$80.00
Which should you choose?
Which is better: Gemini 4 Argon or Muse Wonder?
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, Gemini 4 Argon or Muse Wonder?
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 Gemini 4 Argon and Muse Wonder 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?
Gemini 4 Argon and Muse Wonder share the same 1,048,576-token context window. Maximum output per response: Gemini 4 Argon up to 65,536, Muse Wonder up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Gemini 4 Argon accepts text, images, PDFs, audio and video; Muse Wonder accepts text, images, PDFs, audio and video. They handle the same number of input types.
Are any of these open source?
No. Gemini 4 Argon and Muse Wonder 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.
Related comparisons
- Add Claude Sonnet 5.5Three-way comparison
- Gemini 4 Argon vs Claude Sonnet 5.5Anthropic · ECI 166.7
- Gemini 4 Argon vs GPT-6.1 SolOpenAI · ECI 167.8
- Gemini 4 Argon vs Qwen3.8 MaxAlibaba (Qwen) · ECI 158.0
- Muse Wonder vs GPT-5.6 SolOpenAI · ECI 162.6
- Muse Wonder vs Claude Opus 5Anthropic · ECI 164.5
- Muse Wonder vs Kimi K3Moonshot AI · ECI 158.3
