Noometry

Model comparison

DeepSeek V4.1 Flash vs GPT-6 Sol

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 49.2 on the Noometry Index.

Last verified . 16 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

GPT-6 Sol OpenAI

49.2

Rank #46 Confirmed

Summary

  • They share 16 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 4 categories and GPT-6 Sol in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 48.4 to 35.8.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
  • GPT-6 Sol accepts more context: 1.05M tokens versus 1M.
  • DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4.1 FlashGPT-6 Sol
ProviderDeepSeekOpenAI
Noometry Index50.349.2
Released2026-09-092026-09-22
WeightsOpenProprietary
Context window1M1.05M
Max output393K128K
Input $ / M tokens$0.15$2
Output $ / M tokens$0.60$10
Results tracked2522

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-6 Sol leads

DeepSeek V4.1 Flash: 52.8 (#29), GPT-6 Sol: 59.6 (#11)

BenchmarkDeepSeek V4.1 FlashGPT-6 Sol
LMArena WebDev16201692
LMArena Coding15111453
DeepSWE—68.8%
FrontierCode—49.3%
SciCode51.9%—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: —, GPT-6 Sol: 33.5 (#49)

BenchmarkDeepSeek V4.1 FlashGPT-6 Sol
GDP.pdf—28%

Reasoning GPT-6 Sol leads

DeepSeek V4.1 Flash: 46.2 (#39), GPT-6 Sol: 49.3 (#34)

BenchmarkDeepSeek V4.1 FlashGPT-6 Sol
NYT Connections (extended)89.6%90.1%
LMArena Hard Prompts14851420
CritPt14.3%—
EBR-Bench—53.3%
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index155.01—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 48.4 (#52), GPT-6 Sol: 35.8 (#135)

BenchmarkDeepSeek V4.1 FlashGPT-6 Sol
LMArena Math14931404
ProofBench54%—

Knowledge GPT-6 Sol leads

DeepSeek V4.1 Flash: 41.6 (#97), GPT-6 Sol: 43.0 (#87)

BenchmarkDeepSeek V4.1 FlashGPT-6 Sol
LMArena Expert15051449
Vectara Hallucination Rate—6.5%

Multimodal Not comparable

DeepSeek V4.1 Flash: —, GPT-6 Sol: 47.6 (#9)

BenchmarkDeepSeek V4.1 FlashGPT-6 Sol
Furniture Assembly—58.3%

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.5 (#29), GPT-6 Sol: 51.0 (#113)

BenchmarkDeepSeek V4.1 FlashGPT-6 Sol
LMArena Non-English14521389
LMArena Chinese15061416
LMArena Russian14731407
LMArena Spanish14991377
LMArena French1448—

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.6 (#24), GPT-6 Sol: 74.4 (#97)

BenchmarkDeepSeek V4.1 FlashGPT-6 Sol
LMArena Instruction Following14751406

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#46), GPT-6 Sol: 43.2 (#100)

BenchmarkDeepSeek V4.1 FlashGPT-6 Sol
LMArena Longer Query14761415

Writing & Preference GPT-6 Sol leads

DeepSeek V4.1 Flash: 65.8 (#43), GPT-6 Sol: 72.3 (#15)

BenchmarkDeepSeek V4.1 FlashGPT-6 Sol
LMArena Text14651396
LMArena Creative Writing14361392
EQ-Bench Creative Writing15402125
LMArena Multi-Turn14601405

Frequently asked questions

Is DeepSeek V4.1 Flash better than GPT-6 Sol?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 49.2 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or GPT-6 Sol?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-6 Sol lists at $2 and $10.

Is DeepSeek V4.1 Flash or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 52.8 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 1M.

How many benchmarks do DeepSeek V4.1 Flash and GPT-6 Sol share?

16 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and GPT-6 Sol has 22.

Related comparisons

Go deeper