Coding
Like-for-like- Claude Haiku 4.5
- 73.3
- MiMo-V2-Pro
- 78.0
- Weighted basis
- 1 vs 1 rows
- Reading
- MiMo-V2-Pro leads
Model comparison
Claude Haiku 4.5 vs MiMo-V2-Pro
Updated August 1, 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-Pro has the higher public score estimate, 66.75 versus 55.8, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
1 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
MiMo-V2-Pro
MiMo-V2-Pro leads on the same 1 weighted benchmark row.
Confidence: limited
Long documents
Prompts that approach the documented context limit
MiMo-V2-Pro
MiMo-V2-Pro has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
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. Claude Haiku 4.5 does not fit this workload in one request. MiMo-V2-Pro has no comparable published API token rate.
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.
4 Claude Haiku 4.5 only
1 Shared
3 MiMo-V2-Pro only
- Shared results
- 1
- Claude Haiku 4.5 only
- 4
- MiMo-V2-Pro only
- 3
- Like-for-like categories
- 1 / 8
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- Claude Haiku 4.5
- Not measured
- MiMo-V2-Pro
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- Claude Haiku 4.5
- Not measured
- MiMo-V2-Pro
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Knowledge
Not comparable- Claude Haiku 4.5
- Not measured
- MiMo-V2-Pro
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- Claude Haiku 4.5
- 4.9
- MiMo-V2-Pro
- Not measured
- Weighted basis
- 2 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- Claude Haiku 4.5
- Not measured
- MiMo-V2-Pro
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Claude Haiku 4.5
- Not measured
- MiMo-V2-Pro
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- Claude Haiku 4.5
- Not measured
- MiMo-V2-Pro
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
| Category | Claude Haiku 4.5 | MiMo-V2-Pro | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 73.3 | 78.0 | Like-for-like1 vs 1 rows | MiMo-V2-Pro leads |
| Agentic | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | 4.9 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | Not measured | Not comparable0 vs 0 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.
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
- Claude Haiku 4.5
- $0.0035
- Fits in one request
- MiMo-V2-Pro
- API rate not published
- Fits in one request
MiMo-V2-Pro has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Claude Haiku 4.5
- $0.065
- Fits in one request
- MiMo-V2-Pro
- API rate not published
- Fits in one request
MiMo-V2-Pro has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Claude Haiku 4.5
- $0.09
- Does not fit in one request
- MiMo-V2-Pro
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Claude Haiku 4.5 does not fit this workload in one request. MiMo-V2-Pro 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.
SpecificationClaude Haiku 4.5MiMo-V2-Pro
Context window
Maximum documented context; output-token limits may be lower.
Claude Haiku 4.5
MiMo-V2-Pro
1M
API model ID
Claude Haiku 4.5
claude-haiku-4-5-20251001
Claude API pricingMiMo-V2-Pro
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Haiku 4.5
$0.1 per 1M cached input tokens
Claude API pricingMiMo-V2-Pro
No comparable hosted API rate
Documented inputs
Claude Haiku 4.5
Not sourced
MiMo-V2-Pro
Not sourced
Documented outputs
Claude Haiku 4.5
Not sourced
MiMo-V2-Pro
Not sourced
Provider availability
Claude Haiku 4.5
Not sourced
MiMo-V2-Pro
Not sourced
Reasoning profile
Claude Haiku 4.5
Non-Reasoning
MiMo-V2-Pro
Reasoning
Weight access
Claude Haiku 4.5
Proprietary
MiMo-V2-Pro
Proprietary
License
Claude Haiku 4.5
Proprietary
MiMo-V2-Pro
Proprietary
Release date
Claude Haiku 4.5
2025-10-15
MiMo-V2-Pro
2026-03-18
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-Pro has the higher public score estimate, 66.75 versus 55.8, but the 90% score intervals overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- MiMo-V2-Pro 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 evidence8 rows
Agentic
Coding
Math
Frequently asked questions
Which is better, Claude Haiku 4.5 or MiMo-V2-Pro?
MiMo-V2-Pro has the higher public score estimate, 66.75 versus 55.8, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Claude Haiku 4.5 or MiMo-V2-Pro?
MiMo-V2-Pro leads the like-for-like coding comparison across 1 shared weighted benchmark row.
Which is better for agentic tasks, Claude Haiku 4.5 or MiMo-V2-Pro?
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, Claude Haiku 4.5 or MiMo-V2-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, Claude Haiku 4.5 or MiMo-V2-Pro?
MiMo-V2-Pro has the larger documented context window: 1M, compared with 200K.
Related comparisons
Last updated August 1, 2026
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