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XiaomiLanguage model

MiMo-V2-Flash

MiMo-V2-Flash has no overall index value yet because there are too few independent benchmark results.

PopularityRank 429 of 785

35out of 100-1 vs. last month

based on search, usage and attention

Summary

MiMo-V2-Flash is Xiaomi’s text-only sparse MoE base with about 309B parameters, of which 15B are active per token. The openly available model supports up to 262,144 context tokens and up to 65,536 output tokens. Image and video input are explicitly outside this checkpoint.

Xiaomi describes this model’s hybrid architecture as a foundation for MiMo-V2.5. MiMo-V2-Flash is the text-oriented base, while MiMo-V2.5 is the openly available multimodal agent model.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 46 published benchmark results

Page 1 of 4

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

CritPt v2: Overall (Show measurement, test conditions, and source)
Source value
0
Score
0
Metric
pass@1 accuracy
Unit
%
Benchmark version
v2
Category
reasoning
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
disputed
Retrieved at
2026-11-02
Methodology
Exact AA configuration: MiMo-V2-Flash (Non-reasoning) (release mimo-v2-flash, row mimo-v2-flash, UUID 82b36b4d-84dd-4bc0-ad32-e3aee9442789, reasoning=false, effort=not specified, suffix=Non-reasoning). AA marks this model variant as non-reasoning and reports 0 reasoning tokens. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Source model ID: artificial-analysis/82b36b4d-84dd-4bc0-ad32-e3aee9442789/mimo-v2-flash/mimo-v2-flash. Source model name: MiMo-V2-Flash. Provider reported by source: Xiaomi. Model snapshot: MiMo-V2-Flash (Non-reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: non-reasoning. Reasoning effort: none. Score display: 0.0%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-critpt-v2:v2:standalone:non-reasoning:effort=unspecified:suffix=Non-reasoning
Comparison methodology
Exact AA configuration: MiMo-V2-Flash (Non-reasoning) (release mimo-v2-flash, row mimo-v2-flash, UUID 82b36b4d-84dd-4bc0-ad32-e3aee9442789, reasoning=false, effort=not specified, suffix=Non-reasoning). AA marks this model variant as non-reasoning and reports 0 reasoning tokens. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: non-reasoning. Reasoning effort: none
Context
This AA source field contains the original CritPt score. The earlier CritPt v2 attribution was incorrect; the value and former label remain as disputed historical evidence.. The source dataset marks this result as disputed. It remains visible as documented evidence, but is not reliable comparative proof.
Source Artificial Analysis
CritPt v2: Overall (Show measurement, test conditions, and source)
Source value
4.28571428571429
Score
4.28571428571429
Metric
pass@1 accuracy
Unit
%
Benchmark version
v2
Category
reasoning
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
disputed
Retrieved at
2026-11-02
Methodology
Exact AA configuration: MiMo-V2-Flash (Reasoning) (release mimo-v2-flash, row mimo-v2-flash-reasoning, UUID be185709-ddb4-4268-9597-856464359b25, reasoning=true, effort=not specified, suffix=Reasoning). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Source model ID: artificial-analysis/be185709-ddb4-4268-9597-856464359b25/mimo-v2-flash/mimo-v2-flash-reasoning. Source model name: MiMo-V2-Flash. Provider reported by source: Xiaomi. Model snapshot: MiMo-V2-Flash (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled. Score display: 4.3%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-critpt-v2:v2:standalone:reasoning:effort=unspecified:suffix=Reasoning
Comparison methodology
Exact AA configuration: MiMo-V2-Flash (Reasoning) (release mimo-v2-flash, row mimo-v2-flash-reasoning, UUID be185709-ddb4-4268-9597-856464359b25, reasoning=true, effort=not specified, suffix=Reasoning). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled
Context
This AA source field contains the original CritPt score. The earlier CritPt v2 attribution was incorrect; the value and former label remain as disputed historical evidence.. The source dataset marks this result as disputed. It remains visible as documented evidence, but is not reliable comparative proof.
Source Artificial Analysis
IFBench: Overall (Show measurement, test conditions, and source)
Source value
39.9319727891157
Score
39.9319727891157
Metric
IFBench prompt-level loose accuracy (pass@1)
Unit
%
Benchmark version
AA test set: 294 questions
Category
general
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
superseded
Retrieved at
2026-11-02
Methodology
Exact AA configuration: MiMo-V2-Flash (Non-reasoning) (release mimo-v2-flash, row mimo-v2-flash, UUID 82b36b4d-84dd-4bc0-ad32-e3aee9442789, reasoning=false, effort=not specified, suffix=Non-reasoning). AA marks this model variant as non-reasoning and reports 0 reasoning tokens. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/82b36b4d-84dd-4bc0-ad32-e3aee9442789/mimo-v2-flash/mimo-v2-flash. Source model name: MiMo-V2-Flash. Provider reported by source: Xiaomi. Model snapshot: MiMo-V2-Flash (Non-reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning. Reasoning effort: none. Score display: 39.9%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:non-reasoning:effort=unspecified:suffix=Non-reasoning
Comparison methodology
Exact AA configuration: MiMo-V2-Flash (Non-reasoning) (release mimo-v2-flash, row mimo-v2-flash, UUID 82b36b4d-84dd-4bc0-ad32-e3aee9442789, reasoning=false, effort=not specified, suffix=Non-reasoning). AA marks this model variant as non-reasoning and reports 0 reasoning tokens. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning. Reasoning effort: none
Context
The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.. This result is retained as historical evidence and is not interchangeable with current results.
Source Artificial Analysis
IFBench: Overall (Show measurement, test conditions, and source)
Source value
39.9319727891157
Score
39.9319727891157
Metric
IFBench prompt-level loose accuracy (pass@1)
Unit
%
Benchmark version
AA test set: 294 questions
Category
general
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-07
Methodology
Exact AA configuration: MiMo-V2-Flash (Non-reasoning) (release mimo-v2-flash, row mimo-v2-flash, UUID 82b36b4d-84dd-4bc0-ad32-e3aee9442789, reasoning=false, effort=not specified, suffix=Non-reasoning). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/82b36b4d-84dd-4bc0-ad32-e3aee9442789/mimo-v2-flash/mimo-v2-flash. Source model name: MiMo-V2-Flash. Provider reported by source: Xiaomi. Model snapshot: MiMo-V2-Flash (Non-reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning. Reasoning effort: none. Score display: 39.9%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-07-b96e3ffc8c5b. Source payload hash: b96e3ffc8c5b052aa56f96d05e89d02b8cc234a75085820fca0ca2a39e498274. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-07. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:non-reasoning:effort=unspecified:suffix=Non-reasoning
Comparison methodology
Exact AA configuration: MiMo-V2-Flash (Non-reasoning) (release mimo-v2-flash, row mimo-v2-flash, UUID 82b36b4d-84dd-4bc0-ad32-e3aee9442789, reasoning=false, effort=not specified, suffix=Non-reasoning). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning. Reasoning effort: none
Context
The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.
Source Artificial Analysis
IFBench: Overall (Show measurement, test conditions, and source)
Source value
64.2176870748299
Score
64.2176870748299
Metric
IFBench prompt-level loose accuracy (pass@1)
Unit
%
Benchmark version
AA test set: 294 questions
Category
general
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
superseded
Retrieved at
2026-11-02
Methodology
Exact AA configuration: MiMo-V2-Flash (Reasoning) (release mimo-v2-flash, row mimo-v2-flash-reasoning, UUID be185709-ddb4-4268-9597-856464359b25, reasoning=true, effort=not specified, suffix=Reasoning). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/be185709-ddb4-4268-9597-856464359b25/mimo-v2-flash/mimo-v2-flash-reasoning. Source model name: MiMo-V2-Flash. Provider reported by source: Xiaomi. Model snapshot: MiMo-V2-Flash (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 64.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:effort=unspecified:suffix=Reasoning
Comparison methodology
Exact AA configuration: MiMo-V2-Flash (Reasoning) (release mimo-v2-flash, row mimo-v2-flash-reasoning, UUID be185709-ddb4-4268-9597-856464359b25, reasoning=true, effort=not specified, suffix=Reasoning). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
Context
The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.. This result is retained as historical evidence and is not interchangeable with current results.
Source Artificial Analysis
IFBench: Overall (Show measurement, test conditions, and source)
Source value
64.2176870748299
Score
64.2176870748299
Metric
IFBench prompt-level loose accuracy (pass@1)
Unit
%
Benchmark version
AA test set: 294 questions
Category
general
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-07
Methodology
Exact AA configuration: MiMo-V2-Flash (Reasoning) (release mimo-v2-flash, row mimo-v2-flash-reasoning, UUID be185709-ddb4-4268-9597-856464359b25, reasoning=true, effort=not specified, suffix=Reasoning). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/be185709-ddb4-4268-9597-856464359b25/mimo-v2-flash/mimo-v2-flash-reasoning. Source model name: MiMo-V2-Flash. Provider reported by source: Xiaomi. Model snapshot: MiMo-V2-Flash (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 64.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-07-b96e3ffc8c5b. Source payload hash: b96e3ffc8c5b052aa56f96d05e89d02b8cc234a75085820fca0ca2a39e498274. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-07. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:effort=unspecified:suffix=Reasoning
Comparison methodology
Exact AA configuration: MiMo-V2-Flash (Reasoning) (release mimo-v2-flash, row mimo-v2-flash-reasoning, UUID be185709-ddb4-4268-9597-856464359b25, reasoning=true, effort=not specified, suffix=Reasoning). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
Context
The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.
Source Artificial Analysis
GPQA Diamond: Few-Shot CoT (Show measurement, test conditions, and source)
Source value
59.091
Score
59.091
Metric
accuracy
Unit
%
Benchmark version
1
Category
reasoning
Task
diamond_few_shot_cot
Task label
Few-Shot CoT
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Vals AI
Status
superseded
Retrieved at
2026-10-16
Methodology
Source model ID: xiaomi/mimo-v2-flash. Source model name: Mimo V2 Flash. Provider reported by source: Xiaomi. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000. Latency in seconds: 20.883. Standard error: 3.507. Cost per task in USD: 0.001223. Source ID: vals-ai. Evidence capture ID: vals-gpqa-2026-10-16-951eb5224097. Source payload hash: 951eb5224097733a9d09d06c14908ae2980e2e640e539f2c284877c5092d7077. Parser version: vals-astro-v3. Imported at: 2026-10-16. Source cohort: vals-gpqa:1:diamond_few_shot_cot
Comparison methodology
Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000
Context
This result is retained as historical evidence and is not interchangeable with current results.
Source Vals AI
GPQA Diamond: Few-Shot CoT (Show measurement, test conditions, and source)
Source value
59.091
Score
59.091
Metric
accuracy
Unit
%
Benchmark version
1
Category
reasoning
Task
diamond_few_shot_cot
Task label
Few-Shot CoT
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Vals AI
Status
active
Retrieved at
2026-11-07
Methodology
Source model ID: xiaomi/mimo-v2-flash. Source model name: MiMo-V2-Flash. Provider reported by source: Xiaomi. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000. Latency in seconds: 20.883. Standard error: 3.507. Cost per task in USD: 0.001223. Source ID: vals-ai. Evidence capture ID: vals-gpqa-2026-11-07-8b1d0db37550. Source payload hash: 8b1d0db37550866d95b3f13c61381794328a046b6cf4d0fcaee3823d84421d9a. Parser version: vals-astro-v4. Imported at: 2026-11-07. Source cohort: vals-gpqa:1:diamond_few_shot_cot
Comparison methodology
Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000
Source Vals AI
GPQA Diamond: Zero-Shot CoT (Show measurement, test conditions, and source)
Source value
59.596
Score
59.596
Metric
accuracy
Unit
%
Benchmark version
1
Category
reasoning
Task
diamond_zero_shot_cot
Task label
Zero-Shot CoT
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Vals AI
Status
superseded
Retrieved at
2026-10-16
Methodology
Source model ID: xiaomi/mimo-v2-flash. Source model name: Mimo V2 Flash. Provider reported by source: Xiaomi. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000. Latency in seconds: 20.921. Standard error: 3.553. Cost per task in USD: 0.0012. Source ID: vals-ai. Evidence capture ID: vals-gpqa-2026-10-16-951eb5224097. Source payload hash: 951eb5224097733a9d09d06c14908ae2980e2e640e539f2c284877c5092d7077. Parser version: vals-astro-v3. Imported at: 2026-10-16. Source cohort: vals-gpqa:1:diamond_zero_shot_cot
Comparison methodology
Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000
Context
This result is retained as historical evidence and is not interchangeable with current results.
Source Vals AI
GPQA Diamond: Zero-Shot CoT (Show measurement, test conditions, and source)
Source value
59.596
Score
59.596
Metric
accuracy
Unit
%
Benchmark version
1
Category
reasoning
Task
diamond_zero_shot_cot
Task label
Zero-Shot CoT
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Vals AI
Status
active
Retrieved at
2026-11-07
Methodology
Source model ID: xiaomi/mimo-v2-flash. Source model name: MiMo-V2-Flash. Provider reported by source: Xiaomi. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000. Latency in seconds: 20.921. Standard error: 3.553. Cost per task in USD: 0.0012. Source ID: vals-ai. Evidence capture ID: vals-gpqa-2026-11-07-8b1d0db37550. Source payload hash: 8b1d0db37550866d95b3f13c61381794328a046b6cf4d0fcaee3823d84421d9a. Parser version: vals-astro-v4. Imported at: 2026-11-07. Source cohort: vals-gpqa:1:diamond_zero_shot_cot
Comparison methodology
Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000
Source Vals AI
GPQA Diamond: Overall (Show measurement, test conditions, and source)
Source value
59.344
Score
59.344
Metric
accuracy
Unit
%
Benchmark version
1
Category
reasoning
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Vals AI
Status
superseded
Retrieved at
2026-10-16
Methodology
Source model ID: xiaomi/mimo-v2-flash. Source model name: Mimo V2 Flash. Provider reported by source: Xiaomi. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000. Latency in seconds: 20.902. Standard error: 2.496. Cost per task in USD: 0.001212. Source ID: vals-ai. Evidence capture ID: vals-gpqa-2026-10-16-951eb5224097. Source payload hash: 951eb5224097733a9d09d06c14908ae2980e2e640e539f2c284877c5092d7077. Parser version: vals-astro-v3. Imported at: 2026-10-16. Source cohort: vals-gpqa:1:overall
Comparison methodology
Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000
Context
This result is retained as historical evidence and is not interchangeable with current results.
Source Vals AI
GPQA Diamond: Overall (Show measurement, test conditions, and source)
Source value
59.344
Score
59.344
Metric
accuracy
Unit
%
Benchmark version
1
Category
reasoning
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Vals AI
Status
active
Retrieved at
2026-11-07
Methodology
Source model ID: xiaomi/mimo-v2-flash. Source model name: MiMo-V2-Flash. Provider reported by source: Xiaomi. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000. Latency in seconds: 20.902. Standard error: 2.496. Cost per task in USD: 0.001212. Source ID: vals-ai. Evidence capture ID: vals-gpqa-2026-11-07-8b1d0db37550. Source payload hash: 8b1d0db37550866d95b3f13c61381794328a046b6cf4d0fcaee3823d84421d9a. Parser version: vals-astro-v4. Imported at: 2026-11-07. Source cohort: vals-gpqa:1:overall
Comparison methodology
Temperature: 0.3. Top P: 0.95. Maximum output tokens: 64000
Source Vals AI

Page 1 of 4

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

The 100 most popular models of this category, 0 to 100, higher is more popular

20 of 101 models

GPT-6 Astra83
Claude Haiku 5.577
GPT-6 Sol73
GPT-573
DeepSeek V4.1 Flash 101769
Claude Opus 5.568
Qwen 3.8 27B68
Grok 4.767
Kimi K367
Qwen 3.8 Max 090266
Claude Sonnet 564
Qwen3.5 4B64
DeepSeek-V4-Flash64
Claude Fable 5.164
GPT-5.6 Terra64
MiniCPM-V 4.7 35B-A3B63
GPT-6.1 Sol63
Claude Opus 563
Qwen 3.8 Flash62
MiMo-V2-Flash35

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 7, 2026

MiMo-V2-FlashJamba Reasoning 3B 35Trinity Large Preview 35Tiny Aya Global 34Yi-34B 34

Method changes in the timeline, a jump at these points is no market event:

  1. 1November 1, 2026: Value only with search or usage data, 30-day attention

What is gaining popularity right now, across models, vendors, harnesses and AI subscriptions, is collected in All AI trends.

Similar models

More models of the same kind as MiMo-V2-Flash, chosen by model line, developer, size, price and release date.

All specifications

Architecture

Parameters
309 billion
Source: Parameters
Active parameters
15 billion
Source: Active parameters
Knowledge cutoff
December 2024
Source: Knowledge cutoff

Input and output

Context window
262,144 tokens
Source: Context window
Maximum output
65,536 tokens
Source: Maximum output
Inputs
Text
Source: Inputs
Outputs
Text
Source: Outputs
Reasoning
Yes
Source: Reasoning
Tool calling
Yes
Source: Tool calling

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

Weights
Open weights
Source: Weights
Access
API
Source: Access
License
MIT
Source: License

Frequently asked questions about MiMo-V2-Flash

What is the knowledge cutoff of MiMo-V2-Flash?

December 2024, according to Xiaomi. That is 12 months before release.

Stated by Xiaomi

How large is the context window of MiMo-V2-Flash?

262,144 tokens. That is how much text MiMo-V2-Flash reads at once, about 390 A4 pages.

Page count as a rule of thumb from Artificial Analysis

Context windowTokens the model reads at once · higher is better
MiMo-V2-FlashRank 67 of 103262K
Kimi K2.6262K
Qwen 3.8 27B262K
Kimi K2.7 Code262K
Kimi K2.5262K
Nemotron 3 Ultra262K
Kimi K2 Thinking262K

Can I run MiMo-V2-Flash locally?

Yes, the weights are open. With 309B parameters it needs a lot of memory, more a server than a laptop.

Stated by Xiaomi

Open weights
yes
License
MIT
Parameters
309B
active per token
15B

Sources and data date

Show all 18 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

EvaluatorTest seriesComposite indicesRecorded active measurements
Artificial Analysis203
Vals AI103

Without vendor claims and historical or disputed results; those stay labelled in the single values.

TypeEvidence and data date
Input

Documented modalities. Retrieved October 27, 2026.

Source: models.dev catalog · models.dev catalog (retrieved October 27, 2026) · Models.dev model catalog · Editorial description reviewed October 2, 2026
Output

Documented modalities. Retrieved October 27, 2026.

Source: models.dev catalog · models.dev catalog (retrieved October 27, 2026) · Models.dev model catalog · Editorial description reviewed October 2, 2026
Research statusResearch date October 15, 2026. 6 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not published

post-training-evaluation-setup

Note

The exact post-training evaluation table is separate from the base-model 0/1/3/5-shot table; post-training table does not state prompt/decoding settings, unit, quantization, or benchmark run date.

Additional sourceHugging Face (retrieved October 15, 2026) · MiMo-V2-Flash model card · Editorial description reviewed October 2, 2026
Additional sourceArtificial Analysis (retrieved November 2, 2026)
Additional sourceArtificial Analysis (retrieved October 29, 2026; November 2, 2026; November 7, 2026)
Additional sourceArtificial Analysis (retrieved November 2, 2026; November 7, 2026)
Additional sourceVals AI (retrieved October 16, 2026; November 7, 2026)
Additional sourceXiaomi MiMo-V2-Flash technical report (retrieved October 17, 2026)
Additional sourcePolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data (retrieved October 20, 2026)
Additional sourceEVM-QuestBench: An Execution-Grounded Benchmark for Natural-Language Transaction Code Generation (retrieved October 20, 2026)
Additional sourceDSAEval authors' leaderboard (retrieved October 21, 2026)
Additional sourceXiaomi MiMo model updates (retrieved October 22, 2026)
Additional sourceXiaomi MiMo V2.5 model card · Editorial description reviewed October 2, 2026
Additional sourceOpenRouter: Popularity index (derived), CC BY 4.0
Additional sourceVercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional sourceOllama: cumulative downloads for the popularity index
Additional sourceReplicate: cumulative runs for the popularity index
Additional sourceGoogle Trending Now: limited feed selection for Germany and the US
Additional sourceCreative Commons Attribution 4.0