Muse Glimmer 30B vs MiMo-V2.6-Flash vs Solar Pro 4
MiMo-V2.6-Flash comes out ahead, 79 to 57 and 55 on our weighted score, and it is the cheaper option too.
MetaMuse Glimmer 30B
57/100- ECI—
- Price$0.30 / $1.20
- Context131K
- Our pick
XiaomiMiMo-V2.6-Flash
79/100- ECI—
- Price$0.14 / $0.28
- Context1.05M
Upstage
Solar Pro 4
55/100- ECI—
- Price$0.30 / $1.20
- Context524K
MiMo-V2.6-Flash is our pick
MiMo-V2.6-Flash is the better all-round choice, scoring 79/100 against Muse Glimmer 30B (57) and Solar Pro 4 (55). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. 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 priceMiMo-V2.6-FlashMiMo-V2.6-Flash $0.175 · Muse Glimmer 30B $0.525 · Solar Pro 4 $0.525 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.6-FlashMiMo-V2.6-Flash 1,048,576 · Solar Pro 4 524,288 · Muse Glimmer 30B 131,072 tokens
- Widest inputsMiMo-V2.6-FlashMuse Glimmer 30B: Text, Images · MiMo-V2.6-Flash: Text, Images, Audio, Video · Solar Pro 4: Text
- Self-hostingMuse Glimmer 30B and MiMo-V2.6-FlashPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Muse Glimmer 30B | MiMo-V2.6-Flash | Solar Pro 4 |
|---|---|---|---|---|
| Price | 50% | 63 | 86 | 63 |
| Inputs & features | 30% | 70 | 80 | 45 |
| Context window | 20% | 24 | 61 | 49 |
| Overall | 100% | 57/100 | 79/100 | 55/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Muse Glimmer 30BMeta | MiMo-V2.6-FlashXiaomi | Solar Pro 4Upstage |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | $0.14 (best) | $0.30 |
| Output | $1.20 | $0.28 (best) | $1.20 |
| Cached input | — | $0.0028 (best) | $0.06 |
| Blended (3:1) | $0.525 | $0.175 (best) | $0.525 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 10 providers | Official Xiaomi API | Official Upstage API |
| Limits | |||
| Context window | 131,072 tokens | 1,048,576 tokens (best) | 524,288 tokens |
| Max output | 131,072 tokens | 131,072 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | Open | Proprietary |
| API model ID | — | mimo-v2.6-flash | solar-pro4 |
| API providers | 12 | 18 (best) | 3 |
| Released | Aug 10, 2026 | Sep 22, 2026 | Aug 6, 2026 |
| Knowledge cutoff | Jan 4, 2026 | — | Feb 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 Glimmer 30B$5.40
- MiMo-V2.6-Flash$1.96
- Solar Pro 4$5.40
Which should you choose?
Which is better: Muse Glimmer 30B, MiMo-V2.6-Flash or Solar Pro 4?
MiMo-V2.6-Flash is the better all-round choice, scoring 79/100 against Muse Glimmer 30B (57) and Solar Pro 4 (55). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Muse Glimmer 30B, MiMo-V2.6-Flash or Solar Pro 4?
MiMo-V2.6-Flash is cheaper at $0.14 input / $0.28 output per million tokens (official Xiaomi API price). Muse Glimmer 30B costs $0.30 input / $1.20 output per million tokens (median across 10 API providers); Solar Pro 4 costs $0.30 input / $1.20 output per million tokens (official Upstage API price). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for MiMo-V2.6-Flash versus $0.525 for Muse Glimmer 30B (3× as much) and $0.525 for Solar Pro 4 (3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Muse Glimmer 30B has not been scored yet, MiMo-V2.6-Flash has not been scored yet and Solar Pro 4 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Glimmer 30B, MiMo-V2.6-Flash and Solar Pro 4 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?
MiMo-V2.6-Flash has the largest context window at 1,048,576 tokens, against 524,288 for Solar Pro 4 and 131,072 for Muse Glimmer 30B. Maximum output per response: Muse Glimmer 30B up to 131,072, MiMo-V2.6-Flash up to 131,072, Solar Pro 4 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Muse Glimmer 30B accepts text and images; MiMo-V2.6-Flash accepts text, images, audio and video; Solar Pro 4 accepts text. MiMo-V2.6-Flash handles the widest range of inputs.
Are any of these open source?
Muse Glimmer 30B and MiMo-V2.6-Flash publishes its weights (Apache 2.0) and can be self-hosted; Solar Pro 4 is proprietary.
Which is newer?
MiMo-V2.6-Flash is the newest, released Sep 22, 2026. Muse Glimmer 30B came out Aug 10, 2026; Solar Pro 4 came out Aug 6, 2026. Knowledge cutoff: Muse Glimmer 30B Jan 4, 2026, Solar Pro 4 Feb 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.
