Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
OpenDecision (ModernBERT-large zero-shot) is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
OpenDecision (ModernBERT-large zero-shot) vs MiMo-V2.5-Pro
Updated September 30, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
Share or export
Decision reading
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead. 0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Model A
Deepan Wadhwa
—
Evidence status unavailable
90% interval unavailable
- Shared results
- 0
- OpenDecision (ModernBERT-large zero-shot) only
- 2
- MiMo-V2.5-Pro only
- 13
- Like-for-like categories
- 0 / 8
Supported: MiMo-V2.5-ProHow the comparison works
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.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
Show secondary and unsupported calls
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
OpenDecision (ModernBERT-large zero-shot) is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limitedLong documents
Prompts that approach the documented context limit
Not enough matched evidence
A complete context comparison is not sourced.
Confidence: limitedChat 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-ratesCache-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-ratesRepository 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
Which one for a specific job
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
—OpenDecision (ModernBERT-large zero-shot)45.8MiMo-V2.5-Pro
Not comparable · BenchAlign v5.8
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Same basis rules as the category table below
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 OpenDecision (ModernBERT-large zero-shot) only
13 MiMo-V2.5-Pro only
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.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign v5.8 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
Not comparable- OpenDecision (ModernBERT-large zero-shot)
- Not ranked
- MiMo-V2.5-Pro
- 37.0
- Supported · #65/119
- Basis
- BenchAlign v5.8 lane · 0 vs 5 public rows
- Reading
- Not comparable
Coding
Not comparable- OpenDecision (ModernBERT-large zero-shot)
- Not ranked
- MiMo-V2.5-Pro
- 45.8
- Supported · #52/144
- Basis
- BenchAlign v5.8 lane · 0 vs 4 public rows
- Reading
- Not comparable
Reasoning
Not comparable- OpenDecision (ModernBERT-large zero-shot)
- Not ranked
- MiMo-V2.5-Pro
- 77.1
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- OpenDecision (ModernBERT-large zero-shot)
- Not ranked
- MiMo-V2.5-Pro
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- OpenDecision (ModernBERT-large zero-shot)
- Not ranked
- MiMo-V2.5-Pro
- 50.7
- Supported · #62/170
- Basis
- BenchAlign v5.8 lane · 0 vs 4 public rows
- Reading
- Not comparable
Multilingual
Not comparable- OpenDecision (ModernBERT-large zero-shot)
- Not ranked
- MiMo-V2.5-Pro
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- OpenDecision (ModernBERT-large zero-shot)
- Not ranked
- MiMo-V2.5-Pro
- 92.4
- #6/124
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- OpenDecision (ModernBERT-large zero-shot)
- Not ranked
- MiMo-V2.5-Pro
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | OpenDecision (ModernBERT-large zero-shot) | MiMo-V2.5-Pro | Basis | Reading |
|---|---|---|---|---|
| Agentic | Not ranked | 37.0Supported · #65/119 | Not comparableBenchAlign v5.8 lane · 0 vs 5 public rows | Not comparable |
| Coding | Not ranked | 45.8Supported · #52/144 | Not comparableBenchAlign v5.8 lane · 0 vs 4 public rows | Not comparable |
| Reasoning | Not ranked | 77.1Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | Not ranked | 50.7Supported · #62/170 | Not comparableBenchAlign v5.8 lane · 0 vs 4 public rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | 92.4#6/124 | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Supported evidence per lane · bars run 0–100Methodology
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
- OpenDecision (ModernBERT-large zero-shot)
- API rate not published
- Fit state unavailable
- MiMo-V2.5-Pro
- API rate not published
- Fits in one request
OpenDecision (ModernBERT-large zero-shot) has no comparable published API token rate. MiMo-V2.5-Pro has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- OpenDecision (ModernBERT-large zero-shot)
- API rate not published
- Fit state unavailable
- MiMo-V2.5-Pro
- API rate not published
- Fits in one request
OpenDecision (ModernBERT-large zero-shot) has no comparable published API token rate. MiMo-V2.5-Pro has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- OpenDecision (ModernBERT-large zero-shot)
- API rate not published
- Fit state unavailable
- Cached-input rate unavailable
- MiMo-V2.5-Pro
- API rate not published
- Fits in one request
- Cached-input rate unavailable
OpenDecision (ModernBERT-large zero-shot) has no comparable published API token rate. MiMo-V2.5-Pro has no comparable published API token rate.
Cached input falls back to the list input rate only where a cached rate is unpublished
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationOpenDecision (ModernBERT-large zero-shot)MiMo-V2.5-Pro
Context window
Maximum documented context; output-token limits may be lower.
OpenDecision (ModernBERT-large zero-shot)
Not sourced
MiMo-V2.5-Pro
1M
API model ID
OpenDecision (ModernBERT-large zero-shot)
Not sourced
MiMo-V2.5-Pro
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
OpenDecision (ModernBERT-large zero-shot)
No comparable hosted API rate
Provider pricingMiMo-V2.5-Pro
No comparable hosted API rate
Documented inputs
OpenDecision (ModernBERT-large zero-shot)
Not sourced
MiMo-V2.5-Pro
Not sourced
Documented outputs
OpenDecision (ModernBERT-large zero-shot)
Not sourced
MiMo-V2.5-Pro
Not sourced
Provider availability
OpenDecision (ModernBERT-large zero-shot)
Not sourced
MiMo-V2.5-Pro
Not sourced
Reasoning profile
OpenDecision (ModernBERT-large zero-shot)
Non-Reasoning
MiMo-V2.5-Pro
Reasoning
Weight access
OpenDecision (ModernBERT-large zero-shot)
Open Weight
MiMo-V2.5-Pro
Proprietary
License
OpenDecision (ModernBERT-large zero-shot)
Open Weight
MiMo-V2.5-Pro
Proprietary
Release date
OpenDecision (ModernBERT-large zero-shot)
Not sourced
MiMo-V2.5-Pro
2026-04-22
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
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- A complete documented context comparison is not available.
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, OpenDecision (ModernBERT-large zero-shot) or MiMo-V2.5-Pro?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, OpenDecision (ModernBERT-large zero-shot) or MiMo-V2.5-Pro?
OpenDecision (ModernBERT-large zero-shot) is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, OpenDecision (ModernBERT-large zero-shot) or MiMo-V2.5-Pro?
OpenDecision (ModernBERT-large zero-shot) is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, OpenDecision (ModernBERT-large zero-shot) or MiMo-V2.5-Pro?
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, OpenDecision (ModernBERT-large zero-shot) or MiMo-V2.5-Pro?
A complete documented context-window comparison is not available.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence15 rows
Agentic
Claw-Eval
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro63.8%SourceNot directly comparable
τ³-bench results
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro72.9%SourceNot directly comparable
Terminal-Bench 2.0
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro68.4%SourceNot directly comparable
Gert Labs
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro62.70%SourceNot directly comparable
Terminal-Bench 2.1 (Vals)
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro57.3%SourceNot directly comparable
Coding
SWE-bench Pro
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro57.2%SourceNot directly comparable
Terminal-Bench 2.0
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro68.4%SourceNot directly comparable
LiveCodeBench (Vals)
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro81.4%SourceNot directly comparable
SWE-bench (Vals)
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro74.0%SourceNot directly comparable
Reasoning
Knowledge
HLE
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro48%SourceNot directly comparable
HLE w/o tools
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro34%SourceNot directly comparable
GPQA Diamond (Vals)
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro82.6%SourceNot directly comparable
MMLU-Pro (Vals)
OpenDecision (ModernBERT-large zero-shot)—MiMo-V2.5-Pro84.6%SourceNot directly comparable
15 public results · 0 shared
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Last updated September 30, 2026