Model comparison
Claude Haiku 4.5 vs MiMo-V2.5-Pro
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Haiku 4.5 #77 (Estimated); MiMo-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 and MiMo-V2.5-Pro share 1 comparable benchmark result. 1 of 8 categories are comparable. 4 results are unique to Claude Haiku 4.5; 30 to MiMo-V2.5-Pro.
Updated July 21, 2026- Shared results
- 1
- Claude Haiku 4.5 only
- 4
- MiMo-V2.5-Pro only
- 30
- Comparable categories
- 1 / 8
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
MiMo-V2.5-Pro is clearly ahead on the BenchAlign aggregate, 70.19 to 56.58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro is the reasoning model in the pair, while Claude Haiku 4.5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 200K for Claude Haiku 4.5.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Haiku 4.5 | Δ | MiMo-V2.5-Pro |
|---|---|---|---|
| Coding | Claude Haiku 4.573.3 | Margin← 16.1 | MiMo-V2.5-Pro57.2 |
| Agentic | Claude Haiku 4.5Not measured | MarginNo overlap | MiMo-V2.5-Pro68.4 |
| Knowledge | Claude Haiku 4.5Not measured | MarginNo overlap | MiMo-V2.5-Pro48.0 |
| Math | Claude Haiku 4.54.9 | MarginNo overlap | MiMo-V2.5-ProNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Haiku 4.5 | MiMo-V2.5-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5$1 input / $5 output | MiMo-V2.5-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Haiku 4.5Not available | MiMo-V2.5-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5Not available | MiMo-V2.5-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5200K | MiMo-V2.5-Pro1M | MiMo-V2.5-Pro lists the larger context window. |
Benchmark Deep Dive
Agentic15 benchmarks
| Benchmark | Claude Haiku 4.5 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| JobBenchSource | 16.0% | — | Not comparable |
| Claw-EvalSource | — | 63.8% | Not comparable |
| GDPval-AASource | — | 1265 | Not comparable |
| τ³-bench resultsSource | — | 72.9% | Not comparable |
| Terminal-Bench 2.0Source | — | 68.4% | Not comparable |
| AA Agentic IndexSource | — | 29.1% | Not comparable |
| τ²-bench resultsSource | — | 94.2% | Not comparable |
| GDPval-AASource | — | 38.3% | Not comparable |
| APEX-Agents-AASource | — | 2.4% | Not comparable |
| Gert LabsSource | — | 62.70% | Not comparable |
| AA BriefcaseSource | — | 873 | Not comparable |
| AA ITBenchSource | — | 38.2% | Not comparable |
| terminalBenchHardSource | — | 43.2% | Not comparable |
| aaTerminalBench21Source | — | 65.2% | Not comparable |
| AA Harvey LABSource | — | 73.3% | Not comparable |
CodingClaude Haiku 4.5 wins5 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Claude Haiku 4.5 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| HLESource | — | 48% | Not comparable |
| HLE w/o toolsSource | — | 34% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 42.2% | Not comparable |
| AA-GPQA DiamondSource | — | 86.6% | Not comparable |
| AA-HLESource | — | 33.8% | Not comparable |
| AA-Omniscience IndexSource | — | 3.6% | Not comparable |
| AA-Omniscience AccuracySource | — | 22.6% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 24.5% | Not comparable |
| AA Openness IndexSource | — | 38.9% | Not comparable |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | Claude Haiku 4.5 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1152 | 1298 | MiMo-V2.5-Pro leads |
Inst. Following1 benchmarks
| Benchmark | Claude Haiku 4.5 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 79.9% | Not comparable |
Frequently Asked Questions (2)
Which is better, Claude Haiku 4.5 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is ahead on BenchLM's BenchAlign leaderboard, 70.19 to 56.58.
Which is better for coding, Claude Haiku 4.5 or MiMo-V2.5-Pro?
Claude Haiku 4.5 has the edge for coding in this comparison, averaging 73.3 versus 57.2. MiMo-V2.5-Pro stays close enough that the answer can still flip depending on your workload.
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