Coding
Like-for-like- MiMo-V2.5-Pro
- 57.2
- Muse Spark 1.1
- 61.5
- Weighted basis
- 1 vs 1 rows
- Reading
- Muse Spark 1.1 leads
MiMo-V2.5-Pro vs Muse Spark 1.1
Updated August 22, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Muse Spark 1.1 has the higher public score estimate, 76.74 versus 68.94, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
5 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.
Coding work
Code generation, repair, and software-engineering tasks
Muse Spark 1.1
Muse Spark 1.1 leads on the same 1 weighted benchmark row.
Confidence: limited
Show secondary and unsupported calls
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
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.
3 MiMo-V2.5-Pro only
5 Shared
16 Muse Spark 1.1 only
- Shared results
- 5
- MiMo-V2.5-Pro only
- 3
- Muse Spark 1.1 only
- 16
- Like-for-like categories
- 2 / 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.
Knowledge
Like-for-like- MiMo-V2.5-Pro
- 48.0
- Muse Spark 1.1
- 62.1
- Weighted basis
- 1 vs 1 rows
- Reading
- Muse Spark 1.1 leads
Agentic
Directional only- MiMo-V2.5-Pro
- 68.4
- Muse Spark 1.1
- 80.4
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Reasoning
Not comparable- MiMo-V2.5-Pro
- Not measured
- Muse Spark 1.1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- MiMo-V2.5-Pro
- Not measured
- Muse Spark 1.1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- MiMo-V2.5-Pro
- Not measured
- Muse Spark 1.1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- MiMo-V2.5-Pro
- Not measured
- Muse Spark 1.1
- 88.4
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Instruction following
Not comparable- MiMo-V2.5-Pro
- Not measured
- Muse Spark 1.1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
| Category | MiMo-V2.5-Pro | Muse Spark 1.1 | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 57.2 | 61.5 | Like-for-like1 vs 1 rows | Muse Spark 1.1 leads |
| Knowledge | 48.0 | 62.1 | Like-for-like1 vs 1 rows | Muse Spark 1.1 leads |
| Agentic | 68.4 | 80.4 | Directional only1 vs 2 rows | Directional only |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | 88.4 | Not comparable0 vs 1 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 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.
HLE
Knowledge
MiMo-V2.5-Pro: 48%Muse Spark 1.1: 62.1%Normalized gap 14.1MiMo-V2.5-Pro source Muse Spark 1.1 sourceTerminal-Bench 2.0
Agentic
MiMo-V2.5-Pro: 68.4%Muse Spark 1.1: 80%Normalized gap 11.6MiMo-V2.5-Pro source Muse Spark 1.1 sourceSWE-bench Pro
Coding
MiMo-V2.5-Pro: 57.2%Muse Spark 1.1: 61.5%Normalized gap 4.3MiMo-V2.5-Pro source Muse Spark 1.1 source
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-V2.5-Pro
- API rate not published
- Fits in one request
- Muse Spark 1.1
- API rate not published
- Fits in one request
MiMo-V2.5-Pro has no comparable published API token rate. Muse Spark 1.1 has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- MiMo-V2.5-Pro
- API rate not published
- Fits in one request
- Muse Spark 1.1
- API rate not published
- Fits in one request
MiMo-V2.5-Pro has no comparable published API token rate. Muse Spark 1.1 has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- MiMo-V2.5-Pro
- API rate not published
- Fits in one request
- Cached-input rate unavailable
- Muse Spark 1.1
- API rate not published
- Fits in one request
- Cached-input rate unavailable
MiMo-V2.5-Pro has no comparable published API token rate. Muse Spark 1.1 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-V2.5-ProMuse Spark 1.1
Context window
Maximum documented context; output-token limits may be lower.
MiMo-V2.5-Pro
1M
Muse Spark 1.1
1M
API model ID
MiMo-V2.5-Pro
Not sourced
Muse Spark 1.1
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
MiMo-V2.5-Pro
No comparable hosted API rate
Muse Spark 1.1
No comparable hosted API rate
Documented inputs
MiMo-V2.5-Pro
Not sourced
Muse Spark 1.1
Not sourced
Documented outputs
MiMo-V2.5-Pro
Not sourced
Muse Spark 1.1
Not sourced
Provider availability
MiMo-V2.5-Pro
Not sourced
Muse Spark 1.1
Not sourced
Reasoning profile
MiMo-V2.5-Pro
Reasoning
Muse Spark 1.1
Reasoning
Weight access
MiMo-V2.5-Pro
Proprietary
Muse Spark 1.1
Proprietary
License
MiMo-V2.5-Pro
Proprietary
Muse Spark 1.1
Proprietary
Release date
MiMo-V2.5-Pro
2026-04-22
Muse Spark 1.1
2026-07-09
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
- Muse Spark 1.1 has the higher public score estimate, 76.74 versus 68.94, but the 90% score intervals overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Both models list 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 evidence24 rows
Agentic
Claw-Eval
MiMo-V2.5-Pro63.8%SourceMuse Spark 1.1—Not directly comparable
τ³-bench results
MiMo-V2.5-Pro72.9%SourceMuse Spark 1.1—Not directly comparable
Terminal-Bench 2.0
MiMo-V2.5-Pro68.4%SourceMuse Spark 1.180%SourceMuse Spark 1.1 leads this result
Gert Labs
MiMo-V2.5-Pro62.70%SourceMuse Spark 1.1—Not directly comparable
MCP Atlas
MiMo-V2.5-Pro—Muse Spark 1.188.1%SourceNot directly comparable
Toolathlon
MiMo-V2.5-Pro—Muse Spark 1.175.6%SourceNot directly comparable
OSWorld-Verified
MiMo-V2.5-Pro—Muse Spark 1.180.8%SourceNot directly comparable
WebArena-Verified
MiMo-V2.5-Pro—Muse Spark 1.169%SourceNot directly comparable
DeepSearchQA
MiMo-V2.5-Pro—Muse Spark 1.184.9%SourceNot directly comparable
CyberGym
MiMo-V2.5-Pro—Muse Spark 1.159.0%SourceNot directly comparable
Finance Agent v2
MiMo-V2.5-Pro—Muse Spark 1.157.2%SourceNot directly comparable
deepSwe
MiMo-V2.5-Pro—Muse Spark 1.153.3%SourceNot directly comparable
OSWorld 2.0
MiMo-V2.5-Pro—Muse Spark 1.114.2%SourceNot directly comparable
JobBench
MiMo-V2.5-Pro—Muse Spark 1.154.7%SourceNot directly comparable
Cybench
MiMo-V2.5-Pro—Muse Spark 1.192.9%SourceNot directly comparable
ExploitGym
MiMo-V2.5-Pro—Muse Spark 1.10.8%SourceNot directly comparable
Coding
Reasoning
MRCR 1M
MiMo-V2.5-Pro—Muse Spark 1.154.1%SourceNot directly comparable
Knowledge
Multimodal
Frequently asked questions
Which is better, MiMo-V2.5-Pro or Muse Spark 1.1?
Muse Spark 1.1 has the higher public score estimate, 76.74 versus 68.94, 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-V2.5-Pro or Muse Spark 1.1?
Muse Spark 1.1 leads the like-for-like coding comparison across 1 shared weighted benchmark row.
Which is better for agentic tasks, MiMo-V2.5-Pro or Muse Spark 1.1?
The current agentic tasks 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 costs less, MiMo-V2.5-Pro or Muse Spark 1.1?
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-V2.5-Pro or Muse Spark 1.1?
Both models list the same context window, 1M.
Related comparisons
Last updated August 22, 2026
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