Model comparison

MiMo-V2.5-Pro vs Mistral Nemo

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 26.4 on the Noometry Index. Mistral Nemo costs 3.6× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

MiMo-V2.5-Pro Xiaomi

45.2

Rank #74 Confirmed

Mistral Nemo Mistral AI

26.4

Rank #337 Confirmed

Summary

  • They share 2 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 4 categories and Mistral Nemo in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiMo-V2.5-Pro leads 65.3 to 28.5.
  • The biggest single-benchmark swing is DTBench: 84.5% for MiMo-V2.5-Pro and 48.6% for Mistral Nemo.
  • Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
  • MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 128K.

Side by side

MiMo-V2.5-Pro and Mistral Nemo specifications
MiMo-V2.5-ProMistral Nemo
ProviderXiaomiMistral AI
Noometry Index45.226.4
Released2026-04-222024-07-01
WeightsOpenOpen
Context window1.05M128K
Max output131K128K
Input $ / M tokens$0.43$0.15
Output $ / M tokens$0.87$0.15
Results tracked2710

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Category by category

Coding Not comparable

MiMo-V2.5-Pro: 47.4 (#60), Mistral Nemo: —

Coding benchmarks
BenchmarkMiMo-V2.5-ProMistral Nemo
LMArena WebDev1479—
SciCode50.2%—
LMArena Coding1503—
ALE-Bench899.8—

Agentic & Tool Use Not comparable

MiMo-V2.5-Pro: —, Mistral Nemo: 23.5 (#125)

Agentic & Tool Use benchmarks
BenchmarkMiMo-V2.5-ProMistral Nemo
Berkeley Function Calling Leaderboard—27.6%
BALROG—17.6%

Reasoning MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 26.8 (#130), Mistral Nemo: 20.7 (#232)

Reasoning benchmarks
BenchmarkMiMo-V2.5-ProMistral Nemo
DTBench84.5%48.6%
NYT Connections (extended)34.4%—
CritPt4%—
LMArena Hard Prompts1488—
LMCA29.5%—
Epoch Capabilities Index—118.68
PIQA—83.5%

Math MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 40.0 (#96), Mistral Nemo: 25.5 (#268)

Math benchmarks
BenchmarkMiMo-V2.5-ProMistral Nemo
ProofBench22%—
LMArena Math1481—
MATH Level 5—10.8%
GSM8K—84.2%

Knowledge MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 42.2 (#98), Mistral Nemo: 12.3 (#298)

Knowledge benchmarks
BenchmarkMiMo-V2.5-ProMistral Nemo
GPQA Diamond—29.9%
LMArena Expert1503—
BoolQ—82.5%

Multilingual Not comparable

MiMo-V2.5-Pro: 55.1 (#34), Mistral Nemo: —

Multilingual benchmarks
BenchmarkMiMo-V2.5-ProMistral Nemo
LMArena Non-English1449—
LMArena Chinese1507—
LMArena French1488—
LMArena German1458—
LMArena Japanese1412—
LMArena Korean1437—
LMArena Russian1450—
LMArena Spanish1471—

Instruction Following Not comparable

MiMo-V2.5-Pro: 77.5 (#21), Mistral Nemo: —

Instruction Following benchmarks
BenchmarkMiMo-V2.5-ProMistral Nemo
LMArena Instruction Following1477—

Long Context Not comparable

MiMo-V2.5-Pro: 45.4 (#37), Mistral Nemo: —

Long Context benchmarks
BenchmarkMiMo-V2.5-ProMistral Nemo
LMArena Longer Query1483—

Writing & Preference MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 65.3 (#49), Mistral Nemo: 28.5 (#296)

Writing & Preference benchmarks
BenchmarkMiMo-V2.5-ProMistral Nemo
EQ-Bench Creative Writing1493881
LMArena Text1465—
LMArena Creative Writing1440—
EQ-Bench 41208—
LMArena Multi-Turn1477—

Frequently asked questions

Is MiMo-V2.5-Pro better than Mistral Nemo?

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 26.4 on the Noometry Index. Mistral Nemo costs 3.6× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.

Which is cheaper, MiMo-V2.5-Pro or Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.

Which has the bigger context window?

MiMo-V2.5-Pro does, with 1.05M tokens against 128K.

How many benchmarks do MiMo-V2.5-Pro and Mistral Nemo share?

2 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Mistral Nemo has 10.

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