Model comparison

GPT-5.6 Terra vs MiMo-V2-Flash

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 26× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

GPT-5.6 Terra OpenAI

59.2

Rank #17 Confirmed

MiMo-V2-Flash Xiaomi

41.3

Rank #138 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GPT-5.6 Terra scores higher in 8 categories and MiMo-V2-Flash in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 38.3.
  • The biggest single-benchmark swing is CritPt: 30% for GPT-5.6 Terra and 0% for MiMo-V2-Flash.
  • MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $12 for GPT-5.6 Terra.
  • GPT-5.6 Terra accepts more context: 1.05M tokens versus 262K.
  • MiMo-V2-Flash has downloadable open weights; the other is API-only.

Side by side

GPT-5.6 Terra and MiMo-V2-Flash specifications
GPT-5.6 TerraMiMo-V2-Flash
ProviderOpenAIXiaomi
Noometry Index59.241.3
Released2026-07-092025-12-16
WeightsProprietaryOpen
Context window1.05M262K
Max output128K66K
Input $ / M tokens$2$0.14
Output $ / M tokens$12$0.28
Results tracked5221

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Category by category

Coding GPT-5.6 Terra leads

GPT-5.6 Terra: 57.7 (#19), MiMo-V2-Flash: 36.1 (#211)

Coding benchmarks
BenchmarkGPT-5.6 TerraMiMo-V2-Flash
LMArena WebDev15221330
SciCode55%25.9%
LMArena Coding14841443
ALE-Bench1,951737.95
DeepSWE69.6%—
FrontierCode41.3%—
CursorBench41.3%—
WeirdML78.3%—

Agentic & Tool Use Not comparable

GPT-5.6 Terra: 40.1 (#25), MiMo-V2-Flash: —

Agentic & Tool Use benchmarks
BenchmarkGPT-5.6 TerraMiMo-V2-Flash
APEX-Agents58.2%—
BALROG53.2%—
GDP.pdf24.7%—
Vending-Bench 27,343—

Reasoning GPT-5.6 Terra leads

GPT-5.6 Terra: 60.7 (#21), MiMo-V2-Flash: 24.9 (#157)

Reasoning benchmarks
BenchmarkGPT-5.6 TerraMiMo-V2-Flash
CritPt30%0%
LMArena Hard Prompts14681420
ARC-AGI-283.9%—
SimpleBench48.9%—
Kagi LLM Benchmark51.3%—
NYT Connections (extended)78.4%—
ARC-AGI-196.5%—
Chess Puzzles54%—
Mystery Game Puzzles35%—
DTBench93.3%—
LMCA55%—
Surface Evolver Bench83.8%—
Epoch Capabilities Index159.62—

Math GPT-5.6 Terra leads

GPT-5.6 Terra: 81.6 (#12), MiMo-V2-Flash: 38.3 (#139)

Math benchmarks
BenchmarkGPT-5.6 TerraMiMo-V2-Flash
LMArena Math14661396
FrontierMath (Tiers 1-3)86%—
FrontierMath Tier 470.7%—
OTIS Mock AIME 2024-202599.7%—
ProofBench74%—

Knowledge GPT-5.6 Terra leads

GPT-5.6 Terra: 61.2 (#30), MiMo-V2-Flash: 39.7 (#131)

Knowledge benchmarks
BenchmarkGPT-5.6 TerraMiMo-V2-Flash
LMArena Expert14921425
GPQA Diamond93.3%—
SimpleQA Verified43.2%—

Multimodal Not comparable

GPT-5.6 Terra: 47.3 (#11), MiMo-V2-Flash: —

Multimodal benchmarks
BenchmarkGPT-5.6 TerraMiMo-V2-Flash
LMArena Vision1271—
Blueprint-Bench 230.8%—
Furniture Assembly54.2%—
LMArena Document1472—

Multilingual GPT-5.6 Terra leads

GPT-5.6 Terra: 54.4 (#44), MiMo-V2-Flash: 51.0 (#113)

Multilingual benchmarks
BenchmarkGPT-5.6 TerraMiMo-V2-Flash
LMArena Non-English14391392
LMArena Chinese15131462
LMArena French14711429
LMArena German14601395
LMArena Japanese14571325
LMArena Korean14251358
LMArena Russian14501387
LMArena Spanish14481420

Instruction Following GPT-5.6 Terra leads

GPT-5.6 Terra: 76.4 (#40), MiMo-V2-Flash: 73.5 (#120)

Instruction Following benchmarks
BenchmarkGPT-5.6 TerraMiMo-V2-Flash
LMArena Instruction Following14541392

Long Context GPT-5.6 Terra leads

GPT-5.6 Terra: 44.4 (#68), MiMo-V2-Flash: 43.0 (#110)

Long Context benchmarks
BenchmarkGPT-5.6 TerraMiMo-V2-Flash
LMArena Longer Query14511409

Writing & Preference GPT-5.6 Terra leads

GPT-5.6 Terra: 70.2 (#23), MiMo-V2-Flash: 59.7 (#106)

Writing & Preference benchmarks
BenchmarkGPT-5.6 TerraMiMo-V2-Flash
LMArena Text14471411
LMArena Creative Writing14101375
LMArena Multi-Turn14491404
EQ-Bench Creative Writing1855—
EQ-Bench 41234—

Frequently asked questions

Is GPT-5.6 Terra better than MiMo-V2-Flash?

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 26× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.

Which is cheaper, GPT-5.6 Terra or MiMo-V2-Flash?

MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GPT-5.6 Terra lists at $2 and $12.

Is GPT-5.6 Terra or MiMo-V2-Flash better for coding?

GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 36.1 in the Noometry coding category.

Which has the bigger context window?

GPT-5.6 Terra does, with 1.05M tokens against 262K.

How many benchmarks do GPT-5.6 Terra and MiMo-V2-Flash share?

21 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and MiMo-V2-Flash has 21.

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