MiMo-V2-Pro vs Trinity Large Thinking vs Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite comes out ahead, 73 to 55 and 54 on our weighted score, though Trinity Large Thinking is 31% cheaper per token.
XiaomiMiMo-V2-Pro
54/100- ECI—
- Price$0.435 / $0.87
- Context1.05M
Arcee AITrinity Large Thinking
55/100- ECI—
- Price$0.25 / $0.80
- Context524K
- 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 Trinity Large Thinking (55) and MiMo-V2-Pro (54). It leads on inputs & features. Trinity Large Thinking 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 priceTrinity Large ThinkingTrinity Large Thinking $0.388 · MiMo-V2-Pro $0.544 · Gemini 3.1 Flash Lite $0.563 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2-Pro and Gemini 3.1 Flash LiteMiMo-V2-Pro 1,048,576 · Gemini 3.1 Flash Lite 1,048,576 · Trinity Large Thinking 524,288 tokens
- Widest inputsGemini 3.1 Flash LiteMiMo-V2-Pro: Text · Trinity Large Thinking: Text · Gemini 3.1 Flash Lite: Text, Images, PDFs, Audio, Video
- Self-hostingTrinity Large ThinkingPublishes downloadable weights (OpenMDW-1.1)
| Measure | Weight | MiMo-V2-Pro | Trinity Large Thinking | Gemini 3.1 Flash Lite |
|---|---|---|---|---|
| Price | 50% | 62 | 69 | 62 |
| Inputs & features | 30% | 35 | 35 | 100 |
| Context window | 20% | 61 | 49 | 61 |
| Overall | 100% | 54/100 | 55/100 | 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-ProXiaomi | Trinity Large ThinkingArcee AI | Gemini 3.1 Flash LiteGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.435 | $0.25 (best) | $0.25 (best) |
| Output | $0.87 | $0.80 (best) | $1.50 |
| Cached input | $0.0036 (best) | $0.06 | $0.025 |
| Blended (3:1) | $0.544 | $0.388 (best) | $0.563 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Xiaomi API | Official Arcee API | Official Google API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 524,288 tokens | 1,048,576 tokens (best) |
| Max output | 131,072 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | 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 | No | Yes |
| Availability | |||
| Weights | Proprietary | OpenOpenMDW-1.1 | Proprietary |
| API model ID | mimo-v2-pro | trinity-large-thinking | gemini-3.1-flash-lite |
| API providers | 4 | 6 | 23 (best) |
| Released | Mar 18, 2026 | Apr 1, 2026 | May 7, 2026 |
| Knowledge cutoff | Dec 2024 | — | 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-Pro$6.09
- Trinity Large Thinking$4.10
- Gemini 3.1 Flash Lite$5.50
Which should you choose?
Which is better: MiMo-V2-Pro, Trinity Large Thinking or Gemini 3.1 Flash Lite?
Gemini 3.1 Flash Lite is the better all-round choice, scoring 73/100 against Trinity Large Thinking (55) and MiMo-V2-Pro (54). It leads on inputs & features. Trinity Large Thinking 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, MiMo-V2-Pro, Trinity Large Thinking or Gemini 3.1 Flash Lite?
Trinity Large Thinking is cheaper at $0.25 input / $0.80 output per million tokens (official Arcee 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 $0.388 per million tokens for Trinity Large Thinking versus $0.544 for MiMo-V2-Pro (1.4× as much) and $0.563 for Gemini 3.1 Flash Lite (1.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiMo-V2-Pro has not been scored yet, Trinity Large Thinking 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-Pro, Trinity Large Thinking 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-Pro and Gemini 3.1 Flash Lite have the largest context windows (1,048,576 and 1,048,576 tokens), against 524,288 for Trinity Large Thinking. Maximum output per response: MiMo-V2-Pro up to 131,072, Trinity Large Thinking up to 262,144, Gemini 3.1 Flash Lite up to 65,536 tokens.
Which can read images, PDFs, audio or video?
MiMo-V2-Pro accepts text; Trinity Large Thinking accepts text; 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?
Trinity Large Thinking publishes its weights (OpenMDW-1.1) and can be self-hosted; MiMo-V2-Pro and Gemini 3.1 Flash Lite is proprietary.
Which is newer?
Gemini 3.1 Flash Lite is the newest, released May 7, 2026. Trinity Large Thinking came out Apr 1, 2026; MiMo-V2-Pro came out Mar 18, 2026. Knowledge cutoff: MiMo-V2-Pro Dec 2024, 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.
