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Compare/Qwen2.5 Instruct 32B vs MiMo-V2.5-Pro

Qwen2.5 Instruct 32BvsMiMo-V2.5-Pro

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Alibaba

Qwen2.5 Instruct 32B

Input
—
Output
—
Speed
—
TTFT
—
Xiaomi

MiMo-V2.5-Pro

Input
$0.43/M
Output
$0.87/M
Speed
41 tok/s
TTFT
6.14s

Winner by Category

Cheaper
MiMo-V2.5-Pro
Faster (tok/s)
MiMo-V2.5-Pro
Lower Latency
MiMo-V2.5-Pro
Benchmarks (0-2)
MiMo-V2.5-Pro

Pricing Comparison

MetricQwen2.5 Instruct 32BMiMo-V2.5-Pro
Input ($/M tokens)—$0.43
Output ($/M tokens)—$0.87
Cost for 1M input + 100K output tokens:
MiMo-V2.5-Pro$0.52

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen2.5 Instruct 32B
—
MiMo-V2.5-Pro
41 tok/s
Time to First Token (seconds) — lower is better
Qwen2.5 Instruct 32B
—
MiMo-V2.5-Pro
6.14s

Editorial Analysis

Verdict. MiMo-V2.5-Pro takes the aggregate benchmark matchup 2–0 across 2 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.

Pricing. Pricing varies significantly between these models — check the table above for the exact per-token rates. Many production workloads actually surface input-token cost (retrieval-augmented prompts, code-context windows), so factor both directions.

Strengths. Qwen2.5 Instruct 32B is strongest on Intelligence Index (6.9). MiMo-V2.5-Pro leads on Coding Index (60.2), Intelligence Index (26.4).

Speed. Speed data is incomplete for this pair; benchmark and price should decide.

Provider. Alibaba and Xiaomi sell to overlapping but distinct developer audiences: Alibaba tends to ship frontier reasoning models with premium positioning, while Xiaomi often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
6.926.4
Coding Index
—60.2
Math Index
——
GPQA Diamond
——
MMLU-Pro
——
LiveCodeBench
——
AIME 2025
——
MATH-500
——
Humanity's Last Exam
——
SciCode
——
IFBench
——
TerminalBench
——
Qwen2.5 Instruct 32B0 wins
2 winsMiMo-V2.5-Pro

Frequently Asked Questions

Which is cheaper, Qwen2.5 Instruct 32B or MiMo-V2.5-Pro?

MiMo-V2.5-Pro is cheaper overall. Its blended price (3:1 input/output ratio) is $0.54/M tokens vs $—/M for Qwen2.5 Instruct 32B.

Which model performs better on benchmarks?

MiMo-V2.5-Pro wins 2 out of 12 benchmarks compared to 0 for Qwen2.5 Instruct 32B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

MiMo-V2.5-Pro generates tokens faster at 41 tok/s vs — tok/s. However, MiMo-V2.5-Pro has lower time-to-first-token (6.14s vs —s).

When should I use Qwen2.5 Instruct 32B vs MiMo-V2.5-Pro?

Choose based on your priorities: MiMo-V2.5-Pro for lower cost, MiMo-V2.5-Pro for stronger benchmark performance, and MiMo-V2.5-Pro for faster generation. For latency-sensitive apps, check the TTFT comparison above.