AI model matchup

MiMo-V2.6-Flash vs Muse Spark 1.1

A side-by-side look at published capability scores, listed API pricing, speed, context, and license - to help you decide which trade-offs fit your work.

OpenAI

GPT-5.6 Sol

Rank #1 • Score 57.2
Comparison Metrics
Speed: 89c/s vs 68c/s
Pricing: $7.78 vs $7.22
Anthropic

Claude Opus 5

Rank #2 • Score 56.2

MiMo-V2.6-FlashvsMuse Spark 1.1

Muse Spark 1.1 leads the RankLLMs Index by 0.8 points (53.2 vs 52.4). Verified API Pricing: Free/Open Source (MiMo-V2.6-Flash) vs $1.25 (Muse Spark 1.1) per 1M tokens.

Capability profile

MiMo-V2.6-FlashMuse Spark 1.1

Speed duel

tps
MiMo-V2.6-Flash185
Muse Spark 1.1140

Price duel

$/1M
MiMo-V2.6-FlashFree/Open Source
Muse Spark 1.1$1.25

Shorter bar = cheaper. Blended per 1M tokens.

MetricMiMo-V2.6-FlashMuse Spark 1.1
RankLLMs Overall Score52.4 pts 53.2 pts ▲
Reasoning54.8 62.1 ▲
Coding67.2 ▲61.5
Agentic Tool Use32.5 54.7 ▲
Code Arena Elo1560 ▲1371
Inference Speed185 tps ▲140 tps
API Price (per 1M tokens)Free/Open Source $1.25
Context Window1M 1M
LicenseOpen Source Proprietary
Global Rank#39 #37 ▲

Decision notes

What the numbers suggest

Muse Spark 1.1 leads the RankLLMs overall score by 0.8 points. MiMo-V2.6-Flash has the lower listed API rate (Free/Open Source per 1M tokens).

Treat the overall index as a starting point, then prioritize the benchmark that resembles your task. Published scores and provider pricing can change; this comparison does not represent a first-party test of either model.

Overall index
Muse Spark 1.1 leads
52.4 to 53.2 pts
Coding score
MiMo-V2.6-Flash leads
67.2 to 61.5 pts
Reasoning score
Muse Spark 1.1 leads
54.8 to 62.1 pts
Agentic score
Muse Spark 1.1 leads
32.5 to 54.7 pts

Choose by workload

Which profile fits your use?

Xiaomi

Consider MiMo-V2.6-Flash when

your workload gives more weight to the higher listed coding score, the lower listed API rate. Compare those signals with your own task mix, latency needs, and budget.

View MiMo-V2.6-Flash profile

Meta

Consider Muse Spark 1.1 when

your workload gives more weight to the higher listed reasoning score, the higher overall index score. Compare those signals with your own task mix, latency needs, and budget.

View Muse Spark 1.1 profile

Compare a different pairRead editorial comparisons