Model comparison

DeepSeek-V2.5 (Sep 2024) vs Inkling

Inkling is the stronger model overall, scoring 44.1 to 37.6 on the Noometry Index.

Last verified . 17 shared benchmarks.

DeepSeek-V2.5 (Sep 2024) DeepSeek

37.6

Rank #200 Confirmed

Inkling Thinking Machines Lab

44.1

Rank #80 Confirmed

Summary

  • They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 1 category and Inkling in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Inkling leads 55.1 to 34.8.

Side by side

DeepSeek-V2.5 (Sep 2024) and Inkling specifications
DeepSeek-V2.5 (Sep 2024)Inkling
ProviderDeepSeekThinking Machines Lab
Noometry Index37.644.1
Released2024-09-062026-07-15
WeightsOpenOpen
Context window—66K
Max output—66K
Input $ / M tokens—$1.87
Output $ / M tokens—$4.68
Results tracked2241

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Category by category

Coding Inkling leads

DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Inkling: 34.5 (#234)

Coding benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Inkling
LMArena Coding13091464
FrontierCode—14%
Aider Polyglot17.8%—
LMArena WebDev—1413
FrontierSWE—4.1%
SciCode—47%
WeirdML—32.3%
BigCodeBench Instruct48.6%—
BigCodeBench Complete53.2%—
ALE-Bench—946
HumanEval+83.5%—
MBPP+74.1%—

Agentic & Tool Use Not comparable

DeepSeek-V2.5 (Sep 2024): —, Inkling: 29.6 (#85)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Inkling
APEX-Agents—33.8%
τ²-bench Banking—25%

Reasoning Inkling leads

DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Inkling: 40.4 (#56)

Reasoning benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Inkling
LMArena Hard Prompts12891451
ARC-AGI-2—36.5%
SimpleBench—50%
ARC-AGI-1—79.5%
CritPt—5.4%
Chess Puzzles—21%
DTBench—87.5%
LMCA—37.6%
Epoch Capabilities Index—148.54

Math DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Inkling: 31.3 (#225)

Math benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Inkling
LMArena Math12881479
FrontierMath (Tiers 1-3)—33.3%
FrontierMath Tier 4—4.9%
OTIS Mock AIME 2024-2025—88.9%
ProofBench—0%

Knowledge Inkling leads

DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Inkling: 55.1 (#49)

Knowledge benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Inkling
LMArena Expert12661465
GPQA Diamond—88.3%
SimpleQA Verified—40.3%

Multilingual Inkling leads

DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Inkling: 54.0 (#52)

Multilingual benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Inkling
LMArena Non-English12731434
LMArena Chinese13181490
LMArena French12891458
LMArena German12581446
LMArena Japanese12281429
LMArena Korean12091404
LMArena Russian12891429
LMArena Spanish12481448

Instruction Following Inkling leads

DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Inkling: 75.1 (#71)

Instruction Following benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Inkling
LMArena Instruction Following12801426

Long Context Inkling leads

DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Inkling: 43.8 (#86)

Long Context benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Inkling
LMArena Longer Query13011434

Writing & Preference Inkling leads

DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Inkling: 65.2 (#51)

Writing & Preference benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Inkling
LMArena Text12941441
LMArena Creative Writing12851387
LMArena Multi-Turn12971436
EQ-Bench Creative Writing—1611
EQ-Bench 4—1226

Frequently asked questions

Is DeepSeek-V2.5 (Sep 2024) better than Inkling?

Inkling is the stronger model overall, scoring 44.1 to 37.6 on the Noometry Index.

Is DeepSeek-V2.5 (Sep 2024) or Inkling better for coding?

Inkling scores higher on coding benchmarks: 34.5 versus 31.7 in the Noometry coding category.

How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Inkling share?

17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Inkling has 41.

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