Gemini 3.1 Flash Lite vs Muse Glimmer 30B vs MiMo-V2.5-Pro
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.
- Our pick
GoogleGemini 3.1 Flash Lite
73/100- ECI—
- Price$0.25 / $1.50
- Context1.05M
MetaMuse Glimmer 30B
57/100- ECI—
- Price$0.30 / $1.20
- Context131K
XiaomiMiMo-V2.5-Pro
54/100- ECI—
- Price$0.435 / $0.87
- 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 contextGemini 3.1 Flash Lite and MiMo-V2.5-ProGemini 3.1 Flash Lite 1,048,576 · MiMo-V2.5-Pro 1,048,576 · Muse Glimmer 30B 131,072 tokens
- Widest inputsGemini 3.1 Flash LiteGemini 3.1 Flash Lite: Text, Images, PDFs, Audio, Video · Muse Glimmer 30B: Text, Images · MiMo-V2.5-Pro: Text
- Self-hostingMuse Glimmer 30B and MiMo-V2.5-ProPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Gemini 3.1 Flash Lite | Muse Glimmer 30B | MiMo-V2.5-Pro |
|---|---|---|---|---|
| Price | 50% | 62 | 63 | 62 |
| Inputs & features | 30% | 100 | 70 | 35 |
| Context window | 20% | 61 | 24 | 61 |
| Overall | 100% | 73/100 | 57/100 | 54/100 |
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 | Gemini 3.1 Flash LiteGoogle | Muse Glimmer 30BMeta | MiMo-V2.5-ProXiaomi |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.25 (best) | $0.30 | $0.435 |
| Output | $1.50 | $1.20 | $0.87 (best) |
| Cached input | $0.025 | — | $0.0036 (best) |
| Blended (3:1) | $0.563 | $0.525 (best) | $0.544 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Google API | Median of 10 providers | Official Xiaomi API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 131,072 tokens | 1,048,576 tokens (best) |
| Max output | 65,536 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yesminimal · low · medium · high | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | OpenApache 2.0 | Open |
| API model ID | gemini-3.1-flash-lite | — | mimo-v2.5-pro |
| API providers | 23 (best) | 12 | 20 |
| Released | May 7, 2026 | Aug 10, 2026 | Apr 22, 2026 |
| Knowledge cutoff | Jan 2025 | Jan 4, 2026 | Dec 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Gemini 3.1 Flash Lite$5.50
- Muse Glimmer 30B$5.40
- MiMo-V2.5-Pro$6.09
Which should you choose?
Which is better: Gemini 3.1 Flash Lite, Muse Glimmer 30B or MiMo-V2.5-Pro?
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, Gemini 3.1 Flash Lite, Muse Glimmer 30B or MiMo-V2.5-Pro?
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. Gemini 3.1 Flash Lite has not been scored yet, Muse Glimmer 30B has not been scored yet and MiMo-V2.5-Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 3.1 Flash Lite, Muse Glimmer 30B and MiMo-V2.5-Pro 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?
Gemini 3.1 Flash Lite and MiMo-V2.5-Pro have the largest context windows (1,048,576 and 1,048,576 tokens), against 131,072 for Muse Glimmer 30B. Maximum output per response: Gemini 3.1 Flash Lite up to 65,536, Muse Glimmer 30B up to 131,072, MiMo-V2.5-Pro up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Gemini 3.1 Flash Lite accepts text, images, PDFs, audio and video; Muse Glimmer 30B accepts text and images; MiMo-V2.5-Pro accepts text. Gemini 3.1 Flash Lite handles the widest range of inputs.
Are any of these open source?
Muse Glimmer 30B and MiMo-V2.5-Pro 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: Gemini 3.1 Flash Lite Jan 2025, Muse Glimmer 30B Jan 4, 2026, MiMo-V2.5-Pro Dec 2024.
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.
