Noometry

Model comparison

Claude Sonnet 5 vs DeepSeek-V3

Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 39.5 on the Noometry Index. DeepSeek-V3 costs 9.9× less per token, which makes it the better buy when Claude Sonnet 5's lead doesn't matter for your workload.

Last verified . 28 shared benchmarks.

Claude Sonnet 5 Anthropic

54.6

Rank #29 Confirmed

DeepSeek-V3 DeepSeek

39.5

Rank #166 Confirmed

Summary

  • They share 28 benchmarks with published results for both. Claude Sonnet 5 scores higher in 8 categories and DeepSeek-V3 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Sonnet 5 leads 66.2 to 32.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.7% for Claude Sonnet 5 and 37.8% for DeepSeek-V3.
  • DeepSeek-V3 is cheaper at $0.24 / $0.90 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.
  • Claude Sonnet 5 accepts more context: 1M tokens versus 164K.
  • DeepSeek-V3 has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 5DeepSeek-V3
ProviderAnthropicDeepSeek
Noometry Index54.639.5
Released2026-06-292024-12-26
WeightsProprietaryOpen
Context window1M164K
Max output128K164K
Input $ / M tokens$2$0.24
Output $ / M tokens$10$0.90
Results tracked5160

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Category by category

Coding Claude Sonnet 5 leads

Claude Sonnet 5: 55.5 (#26), DeepSeek-V3: 42.3 (#106)

BenchmarkClaude Sonnet 5DeepSeek-V3
SciCode54.3%35.8%
WeirdML68.8%36.1%
LMArena Coding14831368
DeepSWE53.8%—
FrontierCode42.7%—
Aider Polyglot—55.1%
CursorBench34.1%—
LMArena WebDev1541—
GSO37.3%—
BigCodeBench Instruct—50%
LiveBench Coding—70.9%
BigCodeBench Complete—62.2%
ALE-Bench1,463—
HumanEval+—86.6%
MBPP+—73%

Agentic & Tool Use Not comparable

Claude Sonnet 5: 42.8 (#18), DeepSeek-V3: —

BenchmarkClaude Sonnet 5DeepSeek-V3
APEX-Agents54.5%—
GBAEval65.3%—
LMArena Search1194—
METR Time Horizons—49.6%
Vending-Bench 26,378—

Reasoning Claude Sonnet 5 leads

Claude Sonnet 5: 49.1 (#39), DeepSeek-V3: 20.5 (#236)

BenchmarkClaude Sonnet 5DeepSeek-V3
SimpleBench60.6%27.2%
CritPt16.9%0%
LMArena Hard Prompts14611365
DTBench92.5%64.8%
LMCA50%15.5%
Epoch Capabilities Index156.21135.94
ForecastBench61.159.1
Kagi LLM Benchmark—52.3%
NYT Connections (extended)75.1%—
Chess Puzzles35%—
LiveBench Reasoning—65.8%
Mystery Game Puzzles35%—
LiveBench Data Analysis—60.9%
Surface Evolver Bench60%—
Bench to the Future 30.14—
BIG-Bench Hard—87.5%
HellaSwag—88.9%
LiveBench—66.9%
PIQA—84.7%
WinoGrande—85.2%

Math Claude Sonnet 5 leads

Claude Sonnet 5: 66.2 (#27), DeepSeek-V3: 32.1 (#219)

BenchmarkClaude Sonnet 5DeepSeek-V3
OTIS Mock AIME 2024-202594.7%37.8%
LMArena Math14671373
FrontierMath (Tiers 1-3)65.6%—
FrontierMath Tier 429.3%—
ProofBench77%—
Omni-MATH—40.3%
LiveBench Math—73.5%
MATH Level 5—75.5%
FrontierMath (Feb 2025 set)—1.7%

Knowledge Claude Sonnet 5 leads

Claude Sonnet 5: 55.6 (#47), DeepSeek-V3: 37.5 (#155)

BenchmarkClaude Sonnet 5DeepSeek-V3
GPQA Diamond90.5%67.6%
LMArena Expert14901351
SimpleQA Verified33.7%—
MMLU-Pro—72.3%
Confabulations—26.1%
Vectara Hallucination Rate—6.1%
GPQA (HELM)—53.8%
ARC (AI2) Challenge—95.3%
MMLU—87.2%
TriviaQA—82.9%

Multimodal Not comparable

Claude Sonnet 5: 42.4 (#31), DeepSeek-V3: —

BenchmarkClaude Sonnet 5DeepSeek-V3
LMArena Vision1274—
Blueprint-Bench 224.9%—
LMArena Document1466—

Multilingual Claude Sonnet 5 leads

Claude Sonnet 5: 53.8 (#55), DeepSeek-V3: 48.5 (#143)

BenchmarkClaude Sonnet 5DeepSeek-V3
LMArena Non-English14311358
LMArena Chinese14771391
LMArena French14601385
LMArena German14401374
LMArena Japanese14221333
LMArena Korean14111319
LMArena Russian14511373
LMArena Spanish14371358

Instruction Following Claude Sonnet 5 leads

Claude Sonnet 5: 76.3 (#41), DeepSeek-V3: 72.8 (#130)

BenchmarkClaude Sonnet 5DeepSeek-V3
LMArena Instruction Following14521345
LiveBench Instruction Following—81.5%
IFEval—83.2%

Long Context Claude Sonnet 5 leads

Claude Sonnet 5: 44.8 (#55), DeepSeek-V3: 34.0 (#253)

BenchmarkClaude Sonnet 5DeepSeek-V3
LMArena Longer Query14631352
Fiction.LiveBench—50%

Writing & Preference Claude Sonnet 5 leads

Claude Sonnet 5: 69.2 (#25), DeepSeek-V3: 57.4 (#130)

BenchmarkClaude Sonnet 5DeepSeek-V3
LMArena Text14421375
LMArena Creative Writing14161364
EQ-Bench Creative Writing17941472
LMArena Multi-Turn14541389
Short-Story Creative Writing—77%
WildBench—83%
EQ-Bench 41236—
LiveBench Language—49.1%

Frequently asked questions

Is Claude Sonnet 5 better than DeepSeek-V3?

Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 39.5 on the Noometry Index. DeepSeek-V3 costs 9.9× less per token, which makes it the better buy when Claude Sonnet 5's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 5 or DeepSeek-V3?

DeepSeek-V3 is cheaper. It lists at $0.24 per million input tokens and $0.90 per million output tokens; Claude Sonnet 5 lists at $2 and $10.

Is Claude Sonnet 5 or DeepSeek-V3 better for coding?

Claude Sonnet 5 scores higher on coding benchmarks: 55.5 versus 42.3 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 5 does, with 1M tokens against 164K.

How many benchmarks do Claude Sonnet 5 and DeepSeek-V3 share?

28 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and DeepSeek-V3 has 60.

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