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Model Pareto

MiMo-V2.6-Flash

Xiaomi MiMoOpen weightshuggingface.co ↗
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Input
$0.14/M tok
Output
$0.28/M tok
Blended
$0.175/M tok · 3:1
Speed
55tok/s
Context
1Mtokens

Open weights (MIT); 309B total / 15B active omnimodal MoE. Not yet on Artificial Analysis (no speed).

Rankings

Self-hostingEstimated

How we estimate →

What it would cost to run these open weights yourself on rented GPUs, compared with the API price above.

Hardware
4× B200 180GB
FP8 weights
Throughput
~18,660 tok/s
many requests batched
Price
$0.14–1.27 /M tok
busy → light use
On your own machine
Mac Studio M5 Ultra 512GB (int4, ~110 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (309B params, 15B active per token) + 40% KV-cache headroom ≈ 433 GB
  • 4× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~18,660 output tok/s aggregate at batch 534 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~283,500 tok/s
  • Low = 75% utilization at the low GPU price; high = 20% at the high price

Benchmark scores

~ italic, dashed = no published score yet, estimated from related benchmarks.

Coding

SWE-bench VerifiedEstimated
~#3 of 14 (estimated)~83.5%
  1. #1Claude Opus 596.0%
  2. #2Claude Sonnet 585.2%
  3. ~#3MiMo-V2.6-FlashEstimated83.5%
  4. #3Gemini 3.1 Pro80.6%
No published score — estimated from related benchmarks
SWE-bench Pro (Public)Estimated
~#6 of 19 (estimated)~65.9%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #5Intern-S2-397B68.5%
  4. ~#6MiMo-V2.6-FlashEstimated65.9%
  5. #6Hy4 preview65.7%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#3 of 20 (estimated)~91.7%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. ~#3MiMo-V2.6-FlashEstimated91.7%
  4. #3Qwen3.8 27B90.3%
No published score — estimated from related benchmarks
AA Coding Agent IndexEstimated
~#10 of 15 (estimated)~48.2
  1. #1Claude Opus 5.566.0
  2. #2Claude Fable 5.162.2
  3. #9Kimi K351.9
  4. ~#10MiMo-V2.6-FlashEstimated48.2
  5. #10Grok 4.647.0
No published score — estimated from related benchmarks

Agents

τ²-bench (Telecom)Estimated
~#2 of 116 (estimated)~96.0%
  1. #1Step 3.7 Flash98.5%
  2. ~#2MiMo-V2.6-FlashEstimated96.0%
  3. #2Gemini 3.1 Pro95.6%
No published score — estimated from related benchmarks
OSWorld 2.0Estimated
~#3 of 5 (estimated)~53.8%
  1. #1GLM-5.3 Flash59.1%
  2. #2Kimi K358.3%
  3. ~#3MiMo-V2.6-FlashEstimated53.8%
  4. #3GPT-5.6 Terra50.2%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#8 of 18 (estimated)~86.4%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. #7GPT-5.6 Terra87.5%
  4. ~#8MiMo-V2.6-FlashEstimated86.4%
  5. #8Gemini 3.1 Pro85.9%
No published score — estimated from related benchmarks
GDPval-AA (Elo)Estimated
~#16 of 87 (estimated)~1538 Elo
  1. #1Claude Opus 5.51846
  2. #2Claude Fable 5.11735
  3. #15GPT-6 Astra1542
  4. ~#16MiMo-V2.6-FlashEstimated1538
  5. #16Kimi K31524
No published score — estimated from related benchmarks
AutomationBench-AAEstimated
~#22 of 80 (estimated)~49.0%
  1. #1Claude Opus 5.569.5%
  2. #2DeepSeek V4.1 Flash68.9%
  3. #21Step 5 Preview51.0%
  4. ~#22MiMo-V2.6-FlashEstimated49.0%
  5. #22Qwen3.8 27B48.2%
No published score — estimated from related benchmarks
τ-Bench Banking (AA)Estimated
~#17 of 89 (estimated)~37.4%
  1. #1Muse Spark 1.350.5%
  2. #2GLM-5.350.3%
  3. #16GPT-5.539.0%
  4. ~#17MiMo-V2.6-FlashEstimated37.4%
  5. #17Claude Sonnet 537.3%
No published score — estimated from related benchmarks