Coding
Directional only- MiMo-V2-Omni
- 74.8
- Qwen3.5 397B
- 66.5
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Model comparison
MiMo-V2-Omni vs Qwen3.5 397B
Updated August 2, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
20 confirmed releases in the last 30 daysSee provider release alerts
MiMo-V2-Omni has the higher public score estimate, 62.16 versus 56.22, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
2 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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
MiMo-V2-Omni
MiMo-V2-Omni 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
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
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
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Qwen3.5 397B does not fit this workload in one request. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate. MiMo-V2-Omni has no comparable published API token rate.
Confidence: rate-fallback
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.
2 Shared
36 Qwen3.5 397B only
- Shared results
- 2
- MiMo-V2-Omni only
- 0
- Qwen3.5 397B only
- 36
- Like-for-like categories
- 0 / 8
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Agentic
Not comparable- MiMo-V2-Omni
- Not measured
- Qwen3.5 397B
- 56.5
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Reasoning
Not comparable- MiMo-V2-Omni
- Not measured
- Qwen3.5 397B
- 63.2
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Knowledge
Not comparable- MiMo-V2-Omni
- Not measured
- Qwen3.5 397B
- 56.6
- Weighted basis
- 0 vs 4 rows
- Reading
- Not comparable
Math
Not comparable- MiMo-V2-Omni
- Not measured
- Qwen3.5 397B
- 90.6
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Multilingual
Not comparable- MiMo-V2-Omni
- Not measured
- Qwen3.5 397B
- 84.7
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Multimodal
Not comparable- MiMo-V2-Omni
- Not measured
- Qwen3.5 397B
- 79.6
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Instruction following
Not comparable- MiMo-V2-Omni
- Not measured
- Qwen3.5 397B
- 92.6
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
| Category | MiMo-V2-Omni | Qwen3.5 397B | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 74.8 | 66.5 | Directional only1 vs 2 rows | Directional only |
| Agentic | Not measured | 56.5 | Not comparable0 vs 2 rows | Not comparable |
| Reasoning | Not measured | 63.2 | Not comparable0 vs 1 rows | Not comparable |
| Knowledge | Not measured | 56.6 | Not comparable0 vs 4 rows | Not comparable |
| Math | Not measured | 90.6 | Not comparable0 vs 2 rows | Not comparable |
| Multilingual | Not measured | 84.7 | Not comparable0 vs 1 rows | Not comparable |
| Multimodal | Not measured | 79.6 | Not comparable0 vs 2 rows | Not comparable |
| Instruction following | Not measured | 92.6 | Not comparable0 vs 1 rows | Not comparable |
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.
SWE-bench Verified
Coding
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-Omni
- API rate not published
- Fits in one request
- Qwen3.5 397B
- $0.0024
- Fits in one request
MiMo-V2-Omni has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- MiMo-V2-Omni
- API rate not published
- Fits in one request
- Qwen3.5 397B
- $0.0408
- Fits in one request
MiMo-V2-Omni has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- MiMo-V2-Omni
- API rate not published
- Fits in one request
- Cached-input rate unavailable
- Qwen3.5 397B
- $0.168
- Does not fit in one request
- Cached input priced at the published list-input rate
Qwen3.5 397B does not fit this workload in one request. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate. MiMo-V2-Omni 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.
SpecificationMiMo-V2-OmniQwen3.5 397B
Context window
Maximum documented context; output-token limits may be lower.
MiMo-V2-Omni
262K
Qwen3.5 397B
128K
API model ID
MiMo-V2-Omni
Not sourced
Qwen3.5 397B
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-Omni
No comparable hosted API rate
Qwen3.5 397B
Not published
Documented inputs
MiMo-V2-Omni
Not sourced
Qwen3.5 397B
Not sourced
Documented outputs
MiMo-V2-Omni
Not sourced
Qwen3.5 397B
Not sourced
Provider availability
MiMo-V2-Omni
Not sourced
Qwen3.5 397B
Not sourced
Reasoning profile
MiMo-V2-Omni
Reasoning
Qwen3.5 397B
Non-Reasoning
Weight access
MiMo-V2-Omni
Proprietary
Qwen3.5 397B
Open Weight
License
MiMo-V2-Omni
Proprietary
Qwen3.5 397B
Open Weight
Release date
MiMo-V2-Omni
2026-03-18
Qwen3.5 397B
2026-02-16
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
- MiMo-V2-Omni has the higher public score estimate, 62.16 versus 56.22, but the 90% score intervals overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- MiMo-V2-Omni has the larger documented window (262K).
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 evidence38 rows
Agentic
Claw-Eval
Shared sourceMiMo-V2-Omni45.2%Qwen3.5 397B56.8%Qwen3.5 397B leads this result
Terminal-Bench 2.0
MiMo-V2-Omni—Qwen3.5 397B52.5%SourceNot directly comparable
BrowseComp
MiMo-V2-Omni—Qwen3.5 397B62%SourceNot directly comparable
QwenClawBench
MiMo-V2-Omni—Qwen3.5 397B51.8%SourceNot directly comparable
τ³-bench results
MiMo-V2-Omni—Qwen3.5 397B68.4%SourceNot directly comparable
VITA-Bench
MiMo-V2-Omni—Qwen3.5 397B43.7%SourceNot directly comparable
DeepPlanning
MiMo-V2-Omni—Qwen3.5 397B37.6%SourceNot directly comparable
Toolathlon
MiMo-V2-Omni—Qwen3.5 397B36.3%SourceNot directly comparable
MCP Atlas
MiMo-V2-Omni—Qwen3.5 397B46.1%SourceNot directly comparable
MCP-Tasks
MiMo-V2-Omni—Qwen3.5 397B74.2%SourceNot directly comparable
WideResearch
MiMo-V2-Omni—Qwen3.5 397B74.0%SourceNot directly comparable
Gert Labs
MiMo-V2-Omni—Qwen3.5 397B46.76%SourceNot directly comparable
ResearchClawBench
MiMo-V2-Omni—Qwen3.5 397B14.2%SourceNot directly comparable
Coding
Reasoning
Knowledge
GPQA
MiMo-V2-Omni—Qwen3.5 397B88.4%SourceNot directly comparable
SuperGPQA
MiMo-V2-Omni—Qwen3.5 397B70.4%SourceNot directly comparable
MMLU-Pro
MiMo-V2-Omni—Qwen3.5 397B87.8%SourceNot directly comparable
MMLU-Redux
MiMo-V2-Omni—Qwen3.5 397B94.9%SourceNot directly comparable
C-Eval
MiMo-V2-Omni—Qwen3.5 397B93%SourceNot directly comparable
HLE
MiMo-V2-Omni—Qwen3.5 397B28.7%SourceNot directly comparable
Math
AIME26
MiMo-V2-Omni—Qwen3.5 397B93.3%SourceNot directly comparable
HMMT Feb 2025
MiMo-V2-Omni—Qwen3.5 397B94.8%SourceNot directly comparable
HMMT Nov 2025
MiMo-V2-Omni—Qwen3.5 397B92.7%SourceNot directly comparable
HMMT Feb 2026
MiMo-V2-Omni—Qwen3.5 397B87.9%SourceNot directly comparable
MMAnswerBench
MiMo-V2-Omni—Qwen3.5 397B80.9%SourceNot directly comparable
Multilingual
Multimodal
MMMU-Pro
MiMo-V2-Omni—Qwen3.5 397B79%SourceNot directly comparable
MathVision
MiMo-V2-Omni—Qwen3.5 397B88.6%SourceNot directly comparable
CharXiv
MiMo-V2-Omni—Qwen3.5 397B80.8%SourceNot directly comparable
VideoMMMU
MiMo-V2-Omni—Qwen3.5 397B84.7%SourceNot directly comparable
ScreenSpot Pro
MiMo-V2-Omni—Qwen3.5 397B65.6%SourceNot directly comparable
V*
MiMo-V2-Omni—Qwen3.5 397B95.8%SourceNot directly comparable
Instruction following
IFEval
MiMo-V2-Omni—Qwen3.5 397B92.6%SourceNot directly comparable
Frequently asked questions
Which is better, MiMo-V2-Omni or Qwen3.5 397B?
MiMo-V2-Omni has the higher public score estimate, 62.16 versus 56.22, 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-Omni or Qwen3.5 397B?
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, MiMo-V2-Omni or Qwen3.5 397B?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, MiMo-V2-Omni or Qwen3.5 397B?
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-Omni or Qwen3.5 397B?
MiMo-V2-Omni has the larger documented context window: 262K, compared with 128K.
Related comparisons
Last updated August 2, 2026
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