ZMIME
Comparison · 3 models · Updated Oct 4, 2026

MiMo-V2.5-Pro vs Qwen3.8 Max Preview vs Gemini 3.1 Flash Lite

Gemini 3.1 Flash Lite comes out ahead, 73 to 54 and 47 on our weighted score.

  1. Xiaomi

    MiMo-V2.5-Pro

    Released Apr 22, 2026

    54/100
    • ECI—
    • Price$0.435 / $0.87
    • Context1.05M
  2. Alibaba (Qwen)

    Qwen3.8 Max Preview

    Released Jul 19, 2026

    47/100
    • ECI—
    • Price$2.00 / $6.00
    • Context1M
  3. Our pick

    Google

    Gemini 3.1 Flash Lite

    Released May 7, 2026

    73/100
    • ECI—
    • Price$0.25 / $1.50
    • Context1.05M
01 — Verdict

Gemini 3.1 Flash Lite is our pick

Gemini 3.1 Flash Lite is the better all-round choice, scoring 73/100 against MiMo-V2.5-Pro (54) and Qwen3.8 Max Preview (47). 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 · Qwen3.8 Max Preview $3.00 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 · Qwen3.8 Max Preview 1,000,000 tokens
  • Widest inputsGemini 3.1 Flash LiteMiMo-V2.5-Pro: Text · Qwen3.8 Max Preview: Text, Images, Video · Gemini 3.1 Flash Lite: Text, Images, PDFs, Audio, Video
  • Self-hostingMiMo-V2.5-ProPublishes downloadable weights
How the score is built
MeasureWeightMiMo-V2.5-ProQwen3.8 Max PreviewGemini 3.1 Flash Lite
Price50%622762
Inputs & features30%3570100
Context window20%616061
Overall100%54/10047/10073/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

MiMo-V2.5-Pro vs Qwen3.8 Max Preview vs Gemini 3.1 Flash Lite specifications side by side
SpecificationMiMo-V2.5-ProXiaomiQwen3.8 Max PreviewAlibaba (Qwen)Gemini 3.1 Flash LiteGoogle
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.435$2.00$0.25 (best)
Output$0.87 (best)$6.00$1.50
Cached input$0.0036 (best)—$0.025
Blended (3:1)$0.544 (best)$3.00$0.563
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Xiaomi APIMedian of 6 providersOfficial Google API
Limits
Context window1,048,576 tokens (best)1,000,000 tokens1,048,576 tokens (best)
Max output131,072 tokens (best)131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoYes
AudioNoNoYes
VideoNoYesYes
ReasoningYesYesYesminimal · low · medium · high
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenProprietaryProprietary
API model IDmimo-v2.5-pro—gemini-3.1-flash-lite
API providers20623 (best)
ReleasedApr 22, 2026Jul 19, 2026May 7, 2026
Knowledge cutoffDec 2024—Jan 2025
03 — Cost

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
  • Qwen3.8 Max Preview$32.00
  • Gemini 3.1 Flash Lite$5.50
04 — Questions

Which should you choose?

Which is better: MiMo-V2.5-Pro, Qwen3.8 Max Preview or Gemini 3.1 Flash Lite?

Gemini 3.1 Flash Lite is the better all-round choice, scoring 73/100 against MiMo-V2.5-Pro (54) and Qwen3.8 Max Preview (47). 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, Qwen3.8 Max Preview or Gemini 3.1 Flash Lite?

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); Qwen3.8 Max Preview costs $2.00 input / $6.00 output per million tokens (median across 6 API providers). 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 $3.00 for Qwen3.8 Max Preview (5.5× 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, Qwen3.8 Max Preview 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, Qwen3.8 Max Preview 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 1,000,000 for Qwen3.8 Max Preview. Maximum output per response: MiMo-V2.5-Pro up to 131,072, Qwen3.8 Max Preview 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; Qwen3.8 Max Preview accepts text, images and video; 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 publishes its weights and can be self-hosted; Qwen3.8 Max Preview and Gemini 3.1 Flash Lite is proprietary.

Which is newer?

Qwen3.8 Max Preview is the newest, released Jul 19, 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, 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.