Beam 1.0 501B A23B vs MiniCPM-V 4.7 1B vs Muse Wonder Full
Muse Wonder Full comes out ahead, 72 to 57 and 45 on our weighted score.
Reflection AIBeam 1.0 501B A23B
45/100- ECI—
- Price$0.30 / $1.00
- Context1.05M
OpenBMB
MiniCPM-V 4.7 1B
57/100- ECI—
- Price—
- Context262K
- Our pick
MetaMuse Wonder Full
72/100- ECI—
- Price—
- Context1.05M
Muse Wonder Full is our pick
Muse Wonder Full is the better all-round choice, scoring 72/100 against MiniCPM-V 4.7 1B (57) and Beam 1.0 501B A23B (45). 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 priceBeam 1.0 501B A23BBeam 1.0 501B A23B $0.475 per 1M tokens (3:1 blend) · MiniCPM-V 4.7 1B and Muse Wonder Full unpriced
- Longest contextBeam 1.0 501B A23B and Muse Wonder FullBeam 1.0 501B A23B 1,048,576 · Muse Wonder Full 1,048,576 · MiniCPM-V 4.7 1B 262,144 tokens
- Widest inputsMuse Wonder FullBeam 1.0 501B A23B: Text · MiniCPM-V 4.7 1B: Text, Images, Video · Muse Wonder Full: Text, Images, Audio, Video
- Self-hostingBeam 1.0 501B A23B and MiniCPM-V 4.7 1BPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Beam 1.0 501B A23B | MiniCPM-V 4.7 1B | Muse Wonder Full |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 70 | 80 |
| Context window | 40% | 61 | 37 | 61 |
| Overall | 100% | 45/100 | 57/100 | 72/100 |
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 | Beam 1.0 501B A23BReflection AI | MiniCPM-V 4.7 1BOpenBMB | Muse Wonder FullMeta |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | — | — |
| Output | $1.00 | — | — |
| Cached input | — | — | — |
| Blended (3:1) | $0.475 | — | — |
| Long-context rate | Same rate | — | — |
| Price source | Median of 7 providers | — | — |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 131,072 tokens | 262,144 tokens (best) | — |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache-2.0 | OpenApache-2.0 | Proprietary |
| API model ID | — | — | — |
| API providers | 12 (best) | 1 | — |
| Released | Oct 5, 2026 | Oct 6, 2026 | Oct 12, 2026 |
| Knowledge cutoff | Jun 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.
- Beam 1.0 501B A23B$5.00
- MiniCPM-V 4.7 1B—
- Muse Wonder Full—
Which should you choose?
Which is better: Beam 1.0 501B A23B, MiniCPM-V 4.7 1B or Muse Wonder Full?
Muse Wonder Full is the better all-round choice, scoring 72/100 against MiniCPM-V 4.7 1B (57) and Beam 1.0 501B A23B (45). 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, Beam 1.0 501B A23B, MiniCPM-V 4.7 1B or Muse Wonder Full?
Beam 1.0 501B A23B is cheaper at $0.30 input / $1.00 output per million tokens (median across 7 API providers). . At a typical mix of three input tokens to one output token, that is $0.475 per million tokens for Beam 1.0 501B A23B versus . MiniCPM-V 4.7 1B and Muse Wonder Full has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Beam 1.0 501B A23B has not been scored yet, MiniCPM-V 4.7 1B has not been scored yet and Muse Wonder Full has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Beam 1.0 501B A23B, MiniCPM-V 4.7 1B and Muse Wonder Full yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Beam 1.0 501B A23B and Muse Wonder Full have the largest context windows (1,048,576 and 1,048,576 tokens), against 262,144 for MiniCPM-V 4.7 1B. Maximum output per response: Beam 1.0 501B A23B up to 131,072, MiniCPM-V 4.7 1B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Beam 1.0 501B A23B accepts text; MiniCPM-V 4.7 1B accepts text, images and video; Muse Wonder Full accepts text, images, audio and video. Muse Wonder Full handles the widest range of inputs.
Are any of these open source?
Beam 1.0 501B A23B and MiniCPM-V 4.7 1B publishes its weights (Apache-2.0) and can be self-hosted; Muse Wonder Full is proprietary.
Which is newer?
Muse Wonder Full is the newest, released Oct 12, 2026. MiniCPM-V 4.7 1B came out Oct 6, 2026; Beam 1.0 501B A23B came out Oct 5, 2026. Knowledge cutoff: Beam 1.0 501B A23B Jun 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 Nov 2, 2026.
