Side by side

See the difference.

Scores, capabilities and costs for the models you’re considering.

Scroll to compare models →

Comparison of Google: Gemini 3.8 Flash, Xiaomi: MiMo-V2.6-Pro
2 modelsgoogleGoogle: Gemini 3.8 FlashRemove ×xiaomiXiaomi: MiMo-V2.6-ProRemove ×
What’s differentGemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...
DateSep 2, 2026ListedSep 21, 2026Released
Listed rate$0.375 in / $1.875 out/ 1M tokensGoogle AI Studio · via OpenRouter · all routes ↗google-ai-studio/flex · tier=flex$0.43 in / $0.87 out/ 1M tokensDeepInfra · via OpenRouter · all routes ↗deepinfra/fp8 · quantization=fp8
Provider endpoints9 endpoints →6 endpoints →
AA Intelligence ↗4.3.2Not reported46.32 ↗Effort not specifiedIndependent result
AA-Briefcase ↗1.1Not reported1,514.66 ↗Effort not specifiedIndependent result
GDPval-AA ↗2.1Not reported1,684.34 ↗Effort not specifiedIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reported58.62% ↗Effort not specifiedIndependent result
Terminal-Bench 4.0 · AA ↗Not reported34.85% ↗Effort not specifiedHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reported60.88% ↗AA · Under reviewEffort not specifiedIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reported49.35% ↗Effort not specifiedIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reported19.2% ↗Effort not specifiedIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reported26.57% ↗AA · Under reviewEffort not specifiedIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reported8.38 ↗Effort not specifiedIndependent result
AA-LCR ↗1.1Not reported86.33% ↗Effort not specifiedIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported74.87% ↗Effort: high · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported78.5% ↗Effort: high · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported76.7% ↗Effort: high · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported88% ↗Effort: high · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported81.5% ↗Effort: high · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported47.5% ↗Effort: high · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported72.3% ↗Effort: high · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported79.6% ↗Effort: high · single runIndependent result
Context window1M1.1M
Max output65.5K131.1K
Parameters——
Tool callingSupportedSupported
Structured outputSupportedSupported
Image inputSupportedSupported
Audio inputSupportedSupported
Video inputSupportedSupported
ReasoningSupportedSupported
Prompt cachingSupportedSupported
Open weightsNot reportedSupported

Add another model

Search all models →