HLE
48.0 score
LLM Leaderboard · Proprietary
MiMo-V2.5-Pro benchmarks, pricing, and LLM comparison.
Compare MiMo-V2.5-Pro vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.
Rank #36AskClash overall score: 41.5
$0.90 / $2.70Input and output token price, when published. Context: 1M.
APIBilling and access path cached for this model row.
MiMo-V2.5-Pro benchmark snapshot
AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.
Overall41.5
Benchmark cells6
Context1M
CreatorXiaomi
MiMo-V2.5-Pro public benchmark scores
Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.
GPQA
66.7 score
IFEval
79.9 score
SWE-bench
78.9 score
Terminal-Bench
68.4 score
Tau2
94.2 score
MiMo-V2.5-Pro vs other AI models
Use these comparison links to evaluate MiMo-V2.5-Pro against nearby LLMs by benchmark score, price, context window, and provider.
Related AI and tech coverage
Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.
SGLang — RadixAttention Inference Server v0.5.11 Release Notes
- **CUDA 13 + Torch 2.11**: Default CUDA version moves to 13.0 across SGLang, sgl-kernel, and Docker images, and PyTorch is upgraded from 2.9 to 2.11 — modernizing the build matrix and unlocking newer kernels: #21247, #24162, #24183, #23593 ([tracking issue #21498](https://github.com/sgl-project/sglang/issues/21498)) - **Day-0 / New Model Support**: Gemma 4, GLM-5.1, Qwen3.6, MiMo-V2.5 / V2.5-Pro, Ling-2.6-Flash, Mistral Medium 3.5, and Kimi-K2.6 — with cookbook recipes for tuned deployment comm
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Last cached leaderboard date: May 25, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.