Gemini 3.1 Flash Lite vs Qwen3.5 397B-A17B vs MiMo-V2.5-Pro
Gemini 3.1 Flash Lite comes out ahead, 73 to 56 and 54 on our weighted score.
- Our pick
Google
Gemini 3.1 Flash Lite
73/100- ECI—
- Price$0.25 / $1.50
- Context1.05M
Alibaba (Qwen)
Qwen3.5 397B-A17B
56/100- ECI146.7
- Price$0.60 / $3.60
- Context262K
Xiaomi
MiMo-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 Qwen3.5 397B-A17B (56) 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 priceMiMo-V2.5-ProMiMo-V2.5-Pro $0.544 · Gemini 3.1 Flash Lite $0.563 · Qwen3.5 397B-A17B $1.35 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 · Qwen3.5 397B-A17B 262,144 tokens
- Widest inputsGemini 3.1 Flash LiteGemini 3.1 Flash Lite: Text, Images, PDFs, Audio, Video · Qwen3.5 397B-A17B: Text, Images, Audio, Video · MiMo-V2.5-Pro: Text
- Self-hostingQwen3.5 397B-A17B and MiMo-V2.5-ProPublishes downloadable weights
| Measure | Weight | Gemini 3.1 Flash Lite | Qwen3.5 397B-A17B | MiMo-V2.5-Pro |
|---|---|---|---|---|
| Price | 50% | 62 | 44 | 62 |
| Inputs & features | 30% | 100 | 90 | 35 |
| Context window | 20% | 61 | 37 | 61 |
| Overall | 100% | 73/100 | 56/100 | 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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 146.7 | — |
| ECI rank | — | #67 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 86.4% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 31.2% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 88.9% | — |
| Price per million tokens | |||
| Input | $0.25 (best) | $0.60 | $0.435 |
| Output | $1.50 | $3.60 | $0.87 (best) |
| Cached input | $0.025 | — | $0.0036 (best) |
| Blended (3:1) | $0.563 | $1.35 | $0.544 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Google API | Official Alibaba API | Official Xiaomi API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 65,536 tokens | 65,536 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | Yes | Yes | No |
| Video | Yes | Yes | No |
| Reasoning | Yesminimal · low · medium · high | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | gemini-3.1-flash-lite | qwen3.5-397b-a17b | mimo-v2.5-pro |
| API providers | 23 (best) | 23 (best) | 20 |
| Released | May 7, 2026 | Feb 15, 2026 | Apr 22, 2026 |
| Knowledge cutoff | Jan 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
Qwen3.5 397B-A17B$13.20
MiMo-V2.5-Pro$6.09
Which should you choose?
Which is better: Gemini 3.1 Flash Lite, Qwen3.5 397B-A17B or MiMo-V2.5-Pro?
Gemini 3.1 Flash Lite is the better all-round choice, scoring 73/100 against Qwen3.5 397B-A17B (56) 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, Qwen3.5 397B-A17B or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is cheaper at $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); Qwen3.5 397B-A17B costs $0.60 input / $3.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.544 per million tokens for MiMo-V2.5-Pro versus $0.563 for Gemini 3.1 Flash Lite (1× as much) and $1.35 for Qwen3.5 397B-A17B (2.5× 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, Qwen3.5 397B-A17B has an ECI of 146.7 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, Qwen3.5 397B-A17B 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 262,144 for Qwen3.5 397B-A17B. Maximum output per response: Gemini 3.1 Flash Lite up to 65,536, Qwen3.5 397B-A17B up to 65,536, 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; Qwen3.5 397B-A17B accepts text, images, audio and video; MiMo-V2.5-Pro accepts text. Gemini 3.1 Flash Lite handles the widest range of inputs.
Are any of these open source?
Qwen3.5 397B-A17B and MiMo-V2.5-Pro publishes its weights and can be self-hosted; Gemini 3.1 Flash Lite is proprietary.
Which is newer?
Gemini 3.1 Flash Lite is the newest, released May 7, 2026. MiMo-V2.5-Pro came out Apr 22, 2026; Qwen3.5 397B-A17B came out Feb 15, 2026. Knowledge cutoff: Gemini 3.1 Flash Lite Jan 2025, 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.