Model comparison

DeepSeek V4 Pro vs Gemma 1.1 2b IT

DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 29.3 on the Noometry Index.

Last verified . 14 shared benchmarks.

DeepSeek V4 Pro DeepSeek

54.3

Rank #31 Confirmed

Gemma 1.1 2b IT Google

29.3

Rank #313 Confirmed

Summary

  • They share 14 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 8 categories and Gemma 1.1 2b IT in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where DeepSeek V4 Pro leads 65.5 to 25.1.

Side by side

DeepSeek V4 Pro and Gemma 1.1 2b IT specifications
DeepSeek V4 ProGemma 1.1 2b IT
ProviderDeepSeekGoogle
Noometry Index54.329.3
Released2026-04-24—
WeightsOpenOpen
Context window1M—
Max output393K—
Input $ / M tokens$0.66—
Output $ / M tokens$1.98—
Results tracked4816

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Category by category

Coding DeepSeek V4 Pro leads

DeepSeek V4 Pro: 52.4 (#34), Gemma 1.1 2b IT: 30.1 (#299)

Coding benchmarks
BenchmarkDeepSeek V4 ProGemma 1.1 2b IT
LMArena Coding14701034
SWE-bench Verified77.6%—
FrontierCode28.6%—
LMArena WebDev1582—
SciCode51%—
WeirdML66.2%—
ALE-Bench1,403—
HumanEval+—17.7%
MBPP+—23.3%

Agentic & Tool Use Not comparable

DeepSeek V4 Pro: 32.8 (#58), Gemma 1.1 2b IT: —

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4 ProGemma 1.1 2b IT
APEX-Agents47.3%—
Vending-Bench 23,285—

Reasoning DeepSeek V4 Pro leads

DeepSeek V4 Pro: 56.5 (#24), Gemma 1.1 2b IT: 19.1 (#270)

Reasoning benchmarks
BenchmarkDeepSeek V4 ProGemma 1.1 2b IT
LMArena Hard Prompts14611005
ARC-AGI-261.3%—
Kagi LLM Benchmark53.5%—
NYT Connections (extended)91.3%—
ARC-AGI-190.5%—
CritPt18%—
Chess Puzzles47%—
Mystery Game Puzzles43%—
DTBench93.9%—
LMCA45.5%—
Surface Evolver Bench40%—
Epoch Capabilities Index155.31—
ForecastBench56.1—

Math DeepSeek V4 Pro leads

DeepSeek V4 Pro: 64.8 (#30), Gemma 1.1 2b IT: 30.8 (#232)

Math benchmarks
BenchmarkDeepSeek V4 ProGemma 1.1 2b IT
LMArena Math14551047
FrontierMath (Tiers 1-3)64.6%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions76.6%—
OTIS Mock AIME 2024-202598.6%—
ProofBench50%—

Knowledge DeepSeek V4 Pro leads

DeepSeek V4 Pro: 59.5 (#31), Gemma 1.1 2b IT: 26.5 (#258)

Knowledge benchmarks
BenchmarkDeepSeek V4 ProGemma 1.1 2b IT
LMArena Expert1464970
GPQA Diamond91.7%—
SimpleQA Verified52.9%—
Vectara Hallucination Rate8.6%—

Multilingual DeepSeek V4 Pro leads

DeepSeek V4 Pro: 54.4 (#45), Gemma 1.1 2b IT: 24.6 (#289)

Multilingual benchmarks
BenchmarkDeepSeek V4 ProGemma 1.1 2b IT
LMArena Non-English1439988
LMArena Chinese14861012
LMArena German1458944
LMArena Korean1447899
LMArena Russian1453990
LMArena French1472—
LMArena Japanese1445—
LMArena Spanish1458—

Instruction Following DeepSeek V4 Pro leads

DeepSeek V4 Pro: 76.1 (#47), Gemma 1.1 2b IT: 49.9 (#299)

Instruction Following benchmarks
BenchmarkDeepSeek V4 ProGemma 1.1 2b IT
LMArena Instruction Following1448992

Long Context DeepSeek V4 Pro leads

DeepSeek V4 Pro: 45.0 (#51), Gemma 1.1 2b IT: 30.6 (#286)

Long Context benchmarks
BenchmarkDeepSeek V4 ProGemma 1.1 2b IT
LMArena Longer Query14581003
CL-bench Life13.5%—

Writing & Preference DeepSeek V4 Pro leads

DeepSeek V4 Pro: 65.5 (#46), Gemma 1.1 2b IT: 25.1 (#306)

Writing & Preference benchmarks
BenchmarkDeepSeek V4 ProGemma 1.1 2b IT
LMArena Text14511022
LMArena Creative Writing1446998
LMArena Multi-Turn1467959
EQ-Bench Creative Writing1553—
EQ-Bench 41166—

Frequently asked questions

Is DeepSeek V4 Pro better than Gemma 1.1 2b IT?

DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 29.3 on the Noometry Index.

Is DeepSeek V4 Pro or Gemma 1.1 2b IT better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 30.1 in the Noometry coding category.

How many benchmarks do DeepSeek V4 Pro and Gemma 1.1 2b IT share?

14 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Gemma 1.1 2b IT has 16.

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