Noometry

Model comparison

Command R vs DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 31.0 on the Noometry Index.

Last verified . 16 shared benchmarks.

Command R Cohere

31.0

Rank #267 Confirmed

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Command R scores higher in 0 categories and DeepSeek V4.1 Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 13.3.
  • The biggest single-benchmark swing is DTBench: 46.4% for Command R and 89.9% for DeepSeek V4.1 Flash.
  • Both cost about the same: $0.15 input and $0.60 output per million tokens.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 128K.

Side by side

Command RDeepSeek V4.1 Flash
ProviderCohereDeepSeek
Noometry Index31.050.3
Released2024-08-302026-09-09
WeightsOpenOpen
Context window128K1M
Max output4K393K
Input $ / M tokens$0.15$0.15
Output $ / M tokens$0.60$0.60
Results tracked2925

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Category by category

Coding DeepSeek V4.1 Flash leads

Command R: 28.8 (#301), DeepSeek V4.1 Flash: 52.8 (#29)

BenchmarkCommand RDeepSeek V4.1 Flash
LMArena Coding11701511
LMArena WebDev—1620
SciCode—51.9%
BigCodeBench Instruct37.1%—
LiveBench Coding17.9%—
BigCodeBench Complete45.2%—
ALE-Bench—1,092

Reasoning DeepSeek V4.1 Flash leads

Command R: 13.3 (#329), DeepSeek V4.1 Flash: 46.2 (#39)

BenchmarkCommand RDeepSeek V4.1 Flash
LMArena Hard Prompts11641485
DTBench46.4%89.9%
LMCA9.2%47%
NYT Connections (extended)—89.6%
CritPt—14.3%
LiveBench Reasoning21.9%—
LiveBench Data Analysis33.3%—
Surface Evolver Bench—46.3%
Epoch Capabilities Index—155.01
LiveBench27.5%—

Math DeepSeek V4.1 Flash leads

Command R: 25.8 (#244), DeepSeek V4.1 Flash: 48.4 (#52)

BenchmarkCommand RDeepSeek V4.1 Flash
LMArena Math11551493
ProofBench—54%
LiveBench Math19.4%—

Knowledge DeepSeek V4.1 Flash leads

Command R: 30.5 (#219), DeepSeek V4.1 Flash: 41.6 (#97)

BenchmarkCommand RDeepSeek V4.1 Flash
LMArena Expert11381505
MMLU65.2%—

Multilingual DeepSeek V4.1 Flash leads

Command R: 35.9 (#240), DeepSeek V4.1 Flash: 55.5 (#29)

BenchmarkCommand RDeepSeek V4.1 Flash
LMArena Non-English11741452
LMArena Chinese11821506
LMArena French11611448
LMArena Russian11741473
LMArena Spanish11501499
LMArena German1176—
LMArena Japanese1143—
LMArena Korean1162—

Instruction Following DeepSeek V4.1 Flash leads

Command R: 58.3 (#256), DeepSeek V4.1 Flash: 77.6 (#24)

BenchmarkCommand RDeepSeek V4.1 Flash
LMArena Instruction Following11671475
LiveBench Instruction Following55.6%—

Long Context DeepSeek V4.1 Flash leads

Command R: 36.3 (#226), DeepSeek V4.1 Flash: 45.2 (#46)

BenchmarkCommand RDeepSeek V4.1 Flash
LMArena Longer Query11981476

Writing & Preference DeepSeek V4.1 Flash leads

Command R: 38.4 (#248), DeepSeek V4.1 Flash: 65.8 (#43)

BenchmarkCommand RDeepSeek V4.1 Flash
LMArena Text11871465
LMArena Creative Writing11701436
LMArena Multi-Turn11631460
EQ-Bench Creative Writing—1540
LiveBench Language16.7%—

Frequently asked questions

Is Command R better than DeepSeek V4.1 Flash?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 31.0 on the Noometry Index.

Which is cheaper, Command R or DeepSeek V4.1 Flash?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Command R lists at $0.15 and $0.60.

Is Command R or DeepSeek V4.1 Flash better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 28.8 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 128K.

How many benchmarks do Command R and DeepSeek V4.1 Flash share?

16 benchmarks have published results for both models. Command R has 29 scored results on Noometry and DeepSeek V4.1 Flash has 25.

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