Gemini 3.1 Flash Lite vs GLM-4.7-FlashX vs MiMo-V2-Pro
Gemini 3.1 Flash Lite comes out ahead, 73 to 61 and 54 on our weighted score, though GLM-4.7-FlashX is 3.7× cheaper per token.
- Our pick
GoogleGemini 3.1 Flash Lite
73/100- ECI—
- Price$0.25 / $1.50
- Context1.05M
Z.ai (Zhipu)GLM-4.7-FlashX
61/100- ECI—
- Price$0.07 / $0.40
- Context200K
XiaomiMiMo-V2-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 GLM-4.7-FlashX (61) and MiMo-V2-Pro (54). It leads on inputs & features. GLM-4.7-FlashX wins on price. 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 priceGLM-4.7-FlashXGLM-4.7-FlashX $0.152 · MiMo-V2-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-ProGemini 3.1 Flash Lite 1,048,576 · MiMo-V2-Pro 1,048,576 · GLM-4.7-FlashX 200,000 tokens
- Widest inputsGemini 3.1 Flash LiteGemini 3.1 Flash Lite: Text, Images, PDFs, Audio, Video · GLM-4.7-FlashX: Text · MiMo-V2-Pro: Text
- Self-hostingGLM-4.7-FlashXPublishes downloadable weights
| Measure | Weight | Gemini 3.1 Flash Lite | GLM-4.7-FlashX | MiMo-V2-Pro |
|---|---|---|---|---|
| Price | 50% | 62 | 89 | 62 |
| Inputs & features | 30% | 100 | 35 | 35 |
| Context window | 20% | 61 | 32 | 61 |
| Overall | 100% | 73/100 | 61/100 | 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 | GLM-4.7-FlashXZ.ai (Zhipu) | MiMo-V2-ProXiaomi |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.25 | $0.07 (best) | $0.435 |
| Output | $1.50 | $0.40 (best) | $0.87 |
| Cached input | $0.025 | $0.01 | $0.0036 (best) |
| Blended (3:1) | $0.563 | $0.152 (best) | $0.544 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Google API | Official Z.AI API | Official Xiaomi API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 200,000 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 | No | 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 | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | gemini-3.1-flash-lite | glm-4.7-flashx | mimo-v2-pro |
| API providers | 23 (best) | 8 | 4 |
| Released | May 7, 2026 | Jan 19, 2026 | Mar 18, 2026 |
| Knowledge cutoff | Jan 2025 | Apr 2025 | 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
- GLM-4.7-FlashX$1.50
- MiMo-V2-Pro$6.09
Which should you choose?
Which is better: Gemini 3.1 Flash Lite, GLM-4.7-FlashX or MiMo-V2-Pro?
Gemini 3.1 Flash Lite is the better all-round choice, scoring 73/100 against GLM-4.7-FlashX (61) and MiMo-V2-Pro (54). It leads on inputs & features. GLM-4.7-FlashX wins on price. 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, GLM-4.7-FlashX or MiMo-V2-Pro?
GLM-4.7-FlashX is cheaper at $0.07 input / $0.40 output per million tokens (official Z.AI API price). MiMo-V2-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 $0.152 per million tokens for GLM-4.7-FlashX versus $0.544 for MiMo-V2-Pro (3.6× as much) and $0.563 for Gemini 3.1 Flash Lite (3.7× 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, GLM-4.7-FlashX has not been scored yet and MiMo-V2-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, GLM-4.7-FlashX and MiMo-V2-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-Pro have the largest context windows (1,048,576 and 1,048,576 tokens), against 200,000 for GLM-4.7-FlashX. Maximum output per response: Gemini 3.1 Flash Lite up to 65,536, GLM-4.7-FlashX up to 131,072, MiMo-V2-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; GLM-4.7-FlashX accepts text; MiMo-V2-Pro accepts text. Gemini 3.1 Flash Lite handles the widest range of inputs.
Are any of these open source?
GLM-4.7-FlashX publishes its weights and can be self-hosted; Gemini 3.1 Flash Lite and MiMo-V2-Pro is proprietary.
Which is newer?
Gemini 3.1 Flash Lite is the newest, released May 7, 2026. MiMo-V2-Pro came out Mar 18, 2026; GLM-4.7-FlashX came out Jan 19, 2026. Knowledge cutoff: Gemini 3.1 Flash Lite Jan 2025, GLM-4.7-FlashX Apr 2025, MiMo-V2-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.
