Xiaomi MiMo

MiMo-V2.6-Flash

xiaomi/mimo-v2.6-flash
Model weightsReleased Sep 21, 2026Apache 2.0
ThinkingToolsVisionAudioopen weights

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...

Cost / 1M tokens

Very low usage

$0.14

input

$0.0028

cached input

$0.28

output

Context Window

1.1M

Up to 131K max output

Modalities

text, image, video, audio → text

Other tokenizer

Quickstart & API

xiaomi/mimo-v2.6-flash
Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

67.9% DeepSWE v1.179.0% Vibe Code BenchUltra-low input cost ($0.10/M)

Recommended Workloads in ChatOSS

  • Budget agentic loops
  • Rapid prototyping
  • High-volume tasks
Available in ChatOSS Code, Kanban Orchestrate, and Chat modes via Plus, Max, or BYOK.

Verified Evaluations

Benchmarks & Frontier Comparison

How MiMo-V2.6-Flash compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.

View full Top 40 Leaderboard →
MiMo-V2.6-FlashDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 Pro
Benchmark (Metric)MiMo-V2.6-FlashDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 ProClaude Opus 5.5
Agentic & Software Engineering
ChatOSS Agentic Coding Index (%)52.3%63.2%58.3%65%74.1%
SWE-Bench Verified (%)—91.5%95.4%94.8%97%
DeepSWE v1.1 (Pass@1 %)67.9%77%69%73.5%74.2%
Vibe Code Bench v1.1 (%)78.96%87.7%78.1%88.4%90.3%
Terminal-Bench 4.0 (%)21.21%42.3%42%46.2%65.2%
Code Migration (%)40.93%45.6%44.2%52%66.7%
Intelligence & Token Economics
Artificial Analysis Intelligence Index (0–100)37.939.544.855.157.6
Input Price (/ 1M tokens)$0.14$0.15$1.40$2.00$4.00
Output Price (/ 1M tokens)$0.28$0.60$4.40$10.00$20.00

ChatOSS Agentic Coding Index

ChatOSS Benchmark Audit · 4-benchmark composite mean

52.3%

DeepSWE v1.1

DeepSWE / Official Audit · Mini-SWE-Agent

67.9%

Vibe Code Bench v1.1

Vals.ai · OpenHands

78.96%

Terminal-Bench 4.0

Vals.ai / Artificial Analysis · Terminus 2

21.21%

Code Migration

Vals.ai · Vals evaluation harness

40.93%

Artificial Analysis Intelligence Index

Artificial Analysis

37.9

Active Provider Endpoints (10)

Upstream inference providers serving MiMo-V2.6-Flash, with per-provider pricing, context limits, quantization, and 24-hour uptime.

ProviderInput / 1MOutput / 1MCache Read / 1MContextMax OutputQuantizationUptime (24h)
Io Netcache
io-net/fp8
$0.10$0.28$0.0031M131Kfp899.0%
Darkbloomcache
darkbloom/fp4
$0.10$0.28$0.051M131Kfp498.1%
GMICloudcache
gmicloud/bf16
$0.119$0.238$0.00261.1M945Kbf1698.5%
Makoracache
makora/fp8
$0.13$0.28$0.0021M131Kfp898.3%
Relacecache
relace/mxfp4
$0.13$0.28$0.0031M131Kmxfp499.9%
Coherecache
cohere
$0.14$0.28$0.0031M384K—100.0%
Novitacache
novita/fp8
$0.14$0.28$0.00281M131Kfp8100.0%
DeepInfracache
deepinfra/fp8
$0.14$0.28$0.00281M944Kfp898.8%
Xiaomicache
xiaomi/fp8
$0.14$0.28$0.00281M131Kfp8100.0%
Venicecache
venice/fp8
$0.175$0.35$0.00381M131Kfp898.3%

Supported API Parameters

Parameters accepted by this model when called through ChatOSS or OpenRouter.

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_pparallel_tool_callspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

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