Muse Wonder Full vs Mercury 3
Muse Wonder Full comes out ahead, 72 to 51 on our weighted score.
- Our pick
Meta
Muse Wonder Full
72/100- ECI—
- Price—
- Context1.05M
Inception
Mercury 3
51/100- ECI—
- Price$0.10 / $0.35
- Context1M
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Make it a three-way comparison.
Muse Wonder Full is our pick
Muse Wonder Full is the better all-round choice, scoring 72/100 against Mercury 3 (51). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMercury 3Mercury 3 $0.163 per 1M tokens (3:1 blend) · Muse Wonder Full unpriced
- Longest contextMuse Wonder FullMuse Wonder Full 1,048,576 · Mercury 3 1,000,000 tokens
- Widest inputsMuse Wonder FullMuse Wonder Full: Text, Images, Audio, Video · Mercury 3: Text
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Muse Wonder Full | Mercury 3 |
|---|---|---|---|
| Inputs & features | 60% | 80 | 45 |
| Context window | 40% | 61 | 60 |
| Overall | 100% | 72/100 | 51/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | $0.10 |
| Output | — | $0.35 |
| Cached input | — | $0.01 |
| Blended (3:1) | — | $0.163 |
| Long-context rate | — | Same rate |
| Price source | — | Official Inception API |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | — | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | Yes | No |
| Video | Yes | No |
| Reasoning | Yes | Yeslow · medium · high |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | — | mercury-3 |
| API providers | — | 3 |
| Released | Oct 12, 2026 | Oct 16, 2026 |
| Knowledge cutoff | — | — |
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 Full—
Mercury 3$1.70
Which should you choose?
Which is better: Muse Wonder Full or Mercury 3?
Muse Wonder Full is the better all-round choice, scoring 72/100 against Mercury 3 (51). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Muse Wonder Full or Mercury 3?
Mercury 3 is cheaper at $0.10 input / $0.35 output per million tokens (official Inception API price). . At a typical mix of three input tokens to one output token, that is $0.163 per million tokens for Mercury 3 versus . Muse Wonder Full has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Muse Wonder Full has not been scored yet and Mercury 3 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Wonder Full and Mercury 3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Muse Wonder Full has the largest context window at 1,048,576 tokens, against 1,000,000 for Mercury 3. Maximum output per response: Mercury 3 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Muse Wonder Full accepts text, images, audio and video; Mercury 3 accepts text. Muse Wonder Full handles the widest range of inputs.
Are any of these open source?
No. Muse Wonder Full and Mercury 3 are proprietary and only available through APIs and apps.
Which is newer?
Mercury 3 is the newest, released Oct 16, 2026. Muse Wonder Full came out Oct 12, 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.