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Head-to-head comparison

Gemini 3.8 Flash vs MiMo-V2.5-Pro

Gemini 3.8 Flash (Google) and MiMo-V2.5-Pro (Xiaomi) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 9 September 2026

As of 9 September 2026, Gemini 3.8 Flash holds the stronger ModelCap Index position (#7 vs #21); MiMo-V2.5-Pro is 4.3× cheaper per output token ($0.87/1M vs $3.75/1M); and MiMo-V2.5-Pro ships open weights.

Which should you choose?

Choose Gemini 3.8 Flash if…

  • you want the stronger overall ModelCap Index position — #7 against #21 (82.2 vs 72.8 points).
  • Arena coding is your yardstick — 1537 against 1520.
  • LMArena Agent is your yardstick — 4.0% against -5.1%.
  • AA Intelligence Index is your yardstick — 41.2 against 26.4.
  • AA Terminal-Bench 2.1 is your yardstick — 87.6% against 65.2%.
  • AA Humanity's Last Exam is your yardstick — 47.8% against 35.7%.
  • you want the more recently listed model — Gemini 3.8 Flash was listed 2 September 2026, MiMo-V2.5-Pro 22 April 2026.

Choose MiMo-V2.5-Pro if…

  • API cost matters — $0.87/1M output tokens against $3.75/1M, about 4.3× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.435/1M against $0.75/1M.
  • you want to self-host: MiMo-V2.5-Pro ships open weights while Gemini 3.8 Flash is api only.
  • you want provider choice — 7 listed API providers against 2.

Gemini 3.8 Flash vs MiMo-V2.5-Pro: specs, pricing and context

Specification comparison of Gemini 3.8 Flash and MiMo-V2.5-Pro
FieldGemini 3.8 FlashGoogleMiMo-V2.5-ProXiaomi
ModelCap Index position#7#21
Index score82.272.8
EvidenceMeasuredMeasured
Input price / 1M tokens$0.75$0.435
Output price / 1M tokens$3.75$0.87
Context window1M tokens1M tokens
Max output tokens66K131K
API providers listed27
Weight accessAPI onlyOpen weights
Input modalitiesText, Image, Video, File, AudioText
First listed2 September 202622 April 2026
PublisherGoogleXiaomi

Evidence: 4 public benchmark observations across 4 boards · 5 public benchmark observations across 5 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Gemini 3.8 Flash vs MiMo-V2.5-Pro

Public benchmark boards where Gemini 3.8 Flash or MiMo-V2.5-Pro has a published result
BoardGemini 3.8 FlashMiMo-V2.5-ProLeads
Arena codingArena (LMArena)15371521–1553High15201514–1527Gemini 3.8 Flash
LMArena AgentLMArena4.0%2.1%–6.0%High-5.1%-6.1%–-4.1%Gemini 3.8 Flash
AA Intelligence IndexArtificial Analysis41.2intelligence-index:v4.3:high26.4intelligence-index:v4.3:reasoning-unspecifiedGemini 3.8 Flash
AA Terminal-Bench 2.1Artificial Analysis87.6%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="Gemini 3.8 Flash (high)":reasoning=true65.2%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="MiMo-V2.5-Pro":reasoning=trueGemini 3.8 Flash
AA τ²-Bench TelecomArtificial Analysis94.2%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="MiMo-V2.5-Pro":reasoning=trueOnly one result
AA Humanity's Last ExamArtificial Analysis47.8%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Gemini 3.8 Flash (high)":reasoning=true35.7%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="MiMo-V2.5-Pro":reasoning=trueGemini 3.8 Flash
Terminal-Bench 4.0Terminal-Bench (Laude Institute)19.1%15.7%–22.5%mini-SWE-agent · HighOnly one result
WildClawBench OpenClawWildClawBench43.0Only one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Gemini 3.8 Flash vs MiMo-V2.5-Pro: common questions

Is Gemini 3.8 Flash better than MiMo-V2.5-Pro?

Gemini 3.8 Flash ranks higher on the ModelCap Index as of 9 September 2026: #7 against #21. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Gemini 3.8 Flash cheaper than MiMo-V2.5-Pro?

MiMo-V2.5-Pro is cheaper on output tokens: $0.87/1M against $3.75/1M. Input tokens are $0.75/1M for Gemini 3.8 Flash and $0.435/1M for MiMo-V2.5-Pro. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $3.38 for Gemini 3.8 Flash versus $1.30 for MiMo-V2.5-Pro. MiMo-V2.5-Pro costs 61.3% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, Gemini 3.8 Flash or MiMo-V2.5-Pro?

Both publish a 1M-token context window.

Which is better for coding, Gemini 3.8 Flash or MiMo-V2.5-Pro?

Arena coding: Gemini 3.8 Flash 1537, MiMo-V2.5-Pro 1520 — Gemini 3.8 Flash leads. AA Terminal-Bench 2.1: Gemini 3.8 Flash 87.6%, MiMo-V2.5-Pro 65.2% — Gemini 3.8 Flash leads.

Are Gemini 3.8 Flash and MiMo-V2.5-Pro open-weight models?

Gemini 3.8 Flash: API only. MiMo-V2.5-Pro: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Gemini 3.8 Flash and MiMo-V2.5-Pro?

ModelCap currently lists 2 API providers for Gemini 3.8 Flash and 7 for MiMo-V2.5-Pro, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Gemini 3.8 Flash vs MiMo-V2.5-Pro comparison?

Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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