MiMo-V2.5-Pro vs Muse Glimmer 30B vs Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite comes out ahead, 73 to 57 and 54 on our weighted score, though Muse Glimmer 30B is 7% cheaper per token.
XiaomiMiMo-V2.5-Pro
54/100- ECI—
- Price$0.435 / $0.87
- Context1.05M
MetaMuse Glimmer 30B
57/100- ECI—
- Price$0.30 / $1.20
- Context131K
- Our pick
GoogleGemini 3.1 Flash Lite
73/100- ECI—
- Price$0.25 / $1.50
- Context1.05M
Gemini 3.1 Flash Lite is our pick
Gemini 3.1 Flash Lite is the better all-round choice, scoring 73/100 against Muse Glimmer 30B (57) and MiMo-V2.5-Pro (54). It leads on inputs & features. 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 priceMuse Glimmer 30BMuse Glimmer 30B $0.525 · MiMo-V2.5-Pro $0.544 · Gemini 3.1 Flash Lite $0.563 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.5-Pro and Gemini 3.1 Flash LiteMiMo-V2.5-Pro 1,048,576 · Gemini 3.1 Flash Lite 1,048,576 · Muse Glimmer 30B 131,072 tokens
- Widest inputsGemini 3.1 Flash LiteMiMo-V2.5-Pro: Text · Muse Glimmer 30B: Text, Images · Gemini 3.1 Flash Lite: Text, Images, PDFs, Audio, Video
- Self-hostingMiMo-V2.5-Pro and Muse Glimmer 30BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | MiMo-V2.5-Pro | Muse Glimmer 30B | Gemini 3.1 Flash Lite |
|---|---|---|---|---|
| Price | 50% | 62 | 63 | 62 |
| Inputs & features | 30% | 35 | 70 | 100 |
| Context window | 20% | 61 | 24 | 61 |
| Overall | 100% | 54/100 | 57/100 | 73/100 |
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 | MiMo-V2.5-ProXiaomi | Muse Glimmer 30BMeta | Gemini 3.1 Flash LiteGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.435 | $0.30 | $0.25 (best) |
| Output | $0.87 (best) | $1.20 | $1.50 |
| Cached input | $0.0036 (best) | — | $0.025 |
| Blended (3:1) | $0.544 | $0.525 (best) | $0.563 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Xiaomi API | Median of 10 providers | Official Google API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 131,072 tokens | 1,048,576 tokens (best) |
| Max output | 131,072 tokens (best) | 131,072 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yesminimal · low · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | OpenApache 2.0 | Proprietary |
| API model ID | mimo-v2.5-pro | — | gemini-3.1-flash-lite |
| API providers | 20 | 12 | 23 (best) |
| Released | Apr 22, 2026 | Aug 10, 2026 | May 7, 2026 |
| Knowledge cutoff | Dec 2024 | Jan 4, 2026 | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- MiMo-V2.5-Pro$6.09
- Muse Glimmer 30B$5.40
- Gemini 3.1 Flash Lite$5.50
Which should you choose?
Which is better: MiMo-V2.5-Pro, Muse Glimmer 30B or Gemini 3.1 Flash Lite?
Gemini 3.1 Flash Lite is the better all-round choice, scoring 73/100 against Muse Glimmer 30B (57) and MiMo-V2.5-Pro (54). It leads on inputs & features. 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, MiMo-V2.5-Pro, Muse Glimmer 30B or Gemini 3.1 Flash Lite?
Muse Glimmer 30B is cheaper at $0.30 input / $1.20 output per million tokens (median across 10 API providers). MiMo-V2.5-Pro costs $0.435 input / $0.87 output per million tokens (official Xiaomi API price); Gemini 3.1 Flash Lite costs $0.25 input / $1.50 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for Muse Glimmer 30B versus $0.544 for MiMo-V2.5-Pro (1× as much) and $0.563 for Gemini 3.1 Flash Lite (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiMo-V2.5-Pro has not been scored yet, Muse Glimmer 30B has not been scored yet and Gemini 3.1 Flash Lite has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiMo-V2.5-Pro, Muse Glimmer 30B and Gemini 3.1 Flash Lite 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-V2.5-Pro and Gemini 3.1 Flash Lite have the largest context windows (1,048,576 and 1,048,576 tokens), against 131,072 for Muse Glimmer 30B. Maximum output per response: MiMo-V2.5-Pro up to 131,072, Muse Glimmer 30B up to 131,072, Gemini 3.1 Flash Lite up to 65,536 tokens.
Which can read images, PDFs, audio or video?
MiMo-V2.5-Pro accepts text; Muse Glimmer 30B accepts text and images; Gemini 3.1 Flash Lite accepts text, images, PDFs, audio and video. Gemini 3.1 Flash Lite handles the widest range of inputs.
Are any of these open source?
MiMo-V2.5-Pro and Muse Glimmer 30B publishes its weights (Apache 2.0) and can be self-hosted; Gemini 3.1 Flash Lite is proprietary.
Which is newer?
Muse Glimmer 30B is the newest, released Aug 10, 2026. Gemini 3.1 Flash Lite came out May 7, 2026; MiMo-V2.5-Pro came out Apr 22, 2026. Knowledge cutoff: MiMo-V2.5-Pro Dec 2024, Muse Glimmer 30B Jan 4, 2026, Gemini 3.1 Flash Lite Jan 2025.
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.
