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Model A
MiMo-V2-Flash

Xiaomi

52.18/100

Supported · Public rank #125

90% interval 38.166.3

MiMo-V2-Flash vs Qwen3.7 Plus

Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Alibaba logo
Model B
Qwen3.7 Plus

Alibaba

62.29/100

Supported · Public rank #60

90% interval 52.472.2

Decision reading

Qwen3.7 Plus has the higher public score estimate, 62.29 versus 52.18, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

3 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Qwen3.7 Plus

    Qwen3.7 Plus has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    MiMo-V2-Flash and Qwen3.7 Plus are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    MiMo-V2-Flash is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
3
MiMo-V2-Flash only
1
Qwen3.7 Plus only
49
Like-for-like categories
0 / 8

4 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Directional only
MiMo-V2-Flash
49.6
Estimated · #68/151
Qwen3.7 Plus
37.7
Supported · #126/151
Basis
BenchAlign lane · 0 vs 11 public rows
Reading
Directional only

Coding

Directional only
MiMo-V2-Flash
51.9
Estimated · #59/183
Qwen3.7 Plus
53.1
Estimated · #51/183
Basis
BenchAlign lane · 1 vs 7 public rows
Reading
Directional only

Knowledge

Directional only
MiMo-V2-Flash
43.9
Estimated · #122/181
Qwen3.7 Plus
56.8
Estimated · #50/181
Basis
BenchAlign lane · 2 vs 7 public rows
Reading
Directional only

Instruction following

Directional only
MiMo-V2-Flash
46.2
#87/120
Qwen3.7 Plus
91.1
#17/120
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Directional only

Reasoning

Not comparable
MiMo-V2-Flash
46.2
Unranked · 2 rankable rows
Qwen3.7 Plus
73.7
Unranked · 3 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
MiMo-V2-Flash
Not ranked
Qwen3.7 Plus
78.3
Unranked · 3 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Multilingual

Not comparable
MiMo-V2-Flash
Not ranked
Qwen3.7 Plus
78.9
#3/12
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Multimodal

Not comparable
MiMo-V2-Flash
Not ranked
Qwen3.7 Plus
72.5
#18/48
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

MiMo-V2-Flash
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.7 Plus
API rate not published
Fits in one request

MiMo-V2-Flash has no comparable published API token rate. Qwen3.7 Plus has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

MiMo-V2-Flash
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.7 Plus
API rate not published
Fits in one request

MiMo-V2-Flash has no comparable published API token rate. Qwen3.7 Plus has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

MiMo-V2-Flash
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Qwen3.7 Plus
API rate not published
Fits in one request
Cached-input rate unavailable

MiMo-V2-Flash has no comparable published API token rate. Qwen3.7 Plus has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

MiMo-V2-Flash

256K

Qwen3.7 Plus

1M

API model ID

MiMo-V2-Flash

Not sourced

Qwen3.7 Plus

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

MiMo-V2-Flash

No comparable hosted API rate

Qwen3.7 Plus

No comparable hosted API rate

Documented inputs

MiMo-V2-Flash

Not sourced

Qwen3.7 Plus

Not sourced

Documented outputs

MiMo-V2-Flash

Not sourced

Qwen3.7 Plus

Not sourced

Provider availability

MiMo-V2-Flash

Not sourced

Qwen3.7 Plus

Not sourced

Reasoning profile

MiMo-V2-Flash

Reasoning

Qwen3.7 Plus

Reasoning

Weight access

MiMo-V2-Flash

Open Weight

Qwen3.7 Plus

Proprietary

License

MiMo-V2-Flash

Open Weight

Qwen3.7 Plus

Proprietary

Release date

MiMo-V2-Flash

2026-03-15

Qwen3.7 Plus

2026-06-03

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
Qwen3.7 Plus has the higher public score estimate, 62.29 versus 52.18, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Qwen3.7 Plus has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence53 rows

Agentic

  • Terminal-Bench 2.0

    MiMo-V2-Flash
    Qwen3.7 Plus70.3%
    Source

    Not directly comparable

  • QwenClawBench

    MiMo-V2-Flash
    Qwen3.7 Plus61.8%
    Source

    Not directly comparable

  • Claw-Eval

    MiMo-V2-Flash
    Qwen3.7 Plus62.7%
    Source

    Not directly comparable

  • BFCL v4

    MiMo-V2-Flash
    Qwen3.7 Plus72.9%
    Source

    Not directly comparable

  • MCP Atlas

    MiMo-V2-Flash
    Qwen3.7 Plus73.2%
    Source

    Not directly comparable

  • VITA-Bench

    MiMo-V2-Flash
    Qwen3.7 Plus45.6%
    Source

    Not directly comparable

  • DeepPlanning

    MiMo-V2-Flash
    Qwen3.7 Plus62.3%
    Source

    Not directly comparable

  • OSWorld-Verified

    MiMo-V2-Flash
    Qwen3.7 Plus73.3%
    Source

    Not directly comparable

  • AndroidWorld

    MiMo-V2-Flash
    Qwen3.7 Plus81.0%
    Source

    Not directly comparable

  • OSWorld 2.0

    MiMo-V2-Flash
    Qwen3.7 Plus2.8%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    MiMo-V2-Flash
    Qwen3.7 Plus52.8%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    MiMo-V2-Flash73.4%
    Source
    Qwen3.7 Plus77.7%
    Source

    Qwen3.7 Plus leads this result

  • Terminal-Bench 2.0

    MiMo-V2-Flash
    Qwen3.7 Plus70.3%
    Source

    Not directly comparable

  • SWE-bench Pro

    MiMo-V2-Flash
    Qwen3.7 Plus57.6%
    Source

    Not directly comparable

  • SWE Multilingual

    MiMo-V2-Flash
    Qwen3.7 Plus75.8%
    Source

    Not directly comparable

  • NL2Repo

    MiMo-V2-Flash
    Qwen3.7 Plus41.1%
    Source

    Not directly comparable

  • SciCode

    MiMo-V2-Flash
    Qwen3.7 Plus51.3%
    Source

    Not directly comparable

  • LiveCodeBench

    MiMo-V2-Flash
    Qwen3.7 Plus89.6%
    Source

    Not directly comparable

Reasoning

  • CritPt

    MiMo-V2-Flash
    Qwen3.7 Plus9.1%
    Source

    Not directly comparable

  • MRCRv2

    MiMo-V2-Flash
    Qwen3.7 Plus91.7%
    Source

    Not directly comparable

Knowledge

  • GPQA

    MiMo-V2-Flash83.7%
    Source
    Qwen3.7 Plus90.3%
    Source

    Qwen3.7 Plus leads this result

  • MMLU-Pro

    MiMo-V2-Flash84.9%
    Source
    Qwen3.7 Plus88.5%
    Source

    Qwen3.7 Plus leads this result

  • GPQA-D

    MiMo-V2-Flash
    Qwen3.7 Plus90.3%
    Source

    Not directly comparable

  • HLE

    MiMo-V2-Flash
    Qwen3.7 Plus34.7%
    Source

    Not directly comparable

  • MMLU-Redux

    MiMo-V2-Flash
    Qwen3.7 Plus94.5%
    Source

    Not directly comparable

  • SuperGPQA

    MiMo-V2-Flash
    Qwen3.7 Plus71.4%
    Source

    Not directly comparable

  • MMMLU

    MiMo-V2-Flash
    Qwen3.7 Plus89.0%
    Source

    Not directly comparable

Math

  • AIME 2025

    MiMo-V2-Flash94.1%
    Source
    Qwen3.7 Plus

    Not directly comparable

  • HMMT Feb 2026

    MiMo-V2-Flash
    Qwen3.7 Plus92.9%
    Source

    Not directly comparable

  • IMOAnswerBench

    MiMo-V2-Flash
    Qwen3.7 Plus86.0%
    Source

    Not directly comparable

  • Apex

    MiMo-V2-Flash
    Qwen3.7 Plus22.7%
    Source

    Not directly comparable

Multilingual

  • MMLU-ProX

    MiMo-V2-Flash
    Qwen3.7 Plus85.4%
    Source

    Not directly comparable

  • NOVA-63

    MiMo-V2-Flash
    Qwen3.7 Plus58.8%
    Source

    Not directly comparable

  • INCLUDE

    MiMo-V2-Flash
    Qwen3.7 Plus83.0%
    Source

    Not directly comparable

  • MAXIFE

    MiMo-V2-Flash
    Qwen3.7 Plus88.8%
    Source

    Not directly comparable

  • PolyMath

    MiMo-V2-Flash
    Qwen3.7 Plus84.0%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    MiMo-V2-Flash
    Qwen3.7 Plus79%
    Source

    Not directly comparable

  • MathVision

    MiMo-V2-Flash
    Qwen3.7 Plus90.3%
    Source

    Not directly comparable

  • CharXiv

    MiMo-V2-Flash
    Qwen3.7 Plus85.9%
    Source

    Not directly comparable

  • ERQA

    MiMo-V2-Flash
    Qwen3.7 Plus69.8%
    Source

    Not directly comparable

  • MedXpertQA (MM)

    MiMo-V2-Flash
    Qwen3.7 Plus71.0%
    Source

    Not directly comparable

  • ScreenSpot Pro

    MiMo-V2-Flash
    Qwen3.7 Plus79.0%
    Source

    Not directly comparable

  • SimpleVQA

    MiMo-V2-Flash
    Qwen3.7 Plus81.7%
    Source

    Not directly comparable

  • MMSearch-Plus

    MiMo-V2-Flash
    Qwen3.7 Plus41.4%
    Source

    Not directly comparable

  • RealWorldQA

    MiMo-V2-Flash
    Qwen3.7 Plus86.9%
    Source

    Not directly comparable

  • OmniDocBench 1.5

    MiMo-V2-Flash
    Qwen3.7 Plus91.4%
    Source

    Not directly comparable

  • OCRBench V2

    MiMo-V2-Flash
    Qwen3.7 Plus70.7%
    Source

    Not directly comparable

  • ODINW13

    MiMo-V2-Flash
    Qwen3.7 Plus51.1%
    Source

    Not directly comparable

  • Video-MME (with subtitle)

    MiMo-V2-Flash
    Qwen3.7 Plus88.0%
    Source

    Not directly comparable

  • VideoMMMU

    MiMo-V2-Flash
    Qwen3.7 Plus85.4%
    Source

    Not directly comparable

  • MLVU (M-Avg)

    MiMo-V2-Flash
    Qwen3.7 Plus87.4%
    Source

    Not directly comparable

Instruction following

  • IFEval

    MiMo-V2-Flash
    Qwen3.7 Plus94.6%
    Source

    Not directly comparable

  • IFBench

    MiMo-V2-Flash
    Qwen3.7 Plus79.1%
    Source

    Not directly comparable

Frequently asked questions

Which is better, MiMo-V2-Flash or Qwen3.7 Plus?

Qwen3.7 Plus has the higher public score estimate, 62.29 versus 52.18, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, MiMo-V2-Flash or Qwen3.7 Plus?

Qwen3.7 Plus scores higher for coding on the public lane, 53.1 to 51.9. MiMo-V2-Flash and Qwen3.7 Plus are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, MiMo-V2-Flash or Qwen3.7 Plus?

MiMo-V2-Flash scores higher for agentic tasks on the public lane, 49.6 to 37.7. MiMo-V2-Flash is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, MiMo-V2-Flash or Qwen3.7 Plus?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, MiMo-V2-Flash or Qwen3.7 Plus?

Qwen3.7 Plus has the larger documented context window: 1M, compared with 256K.

Related comparisons

Last updated September 4, 2026

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