Noometry

Model comparison

DeepSeek V4.1 Flash vs GPT-5.2 Codex

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 42.2 on the Noometry Index.

Last verified . 2 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

GPT-5.2 Codex OpenAI

42.2

Rank #107 Reported

Summary

  • They share 2 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 1 category and GPT-5.2 Codex in 0 categories; one gap is clear of the uncertainty.
  • The widest gap is in coding, where DeepSeek V4.1 Flash leads 52.8 to 45.4.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 400K.
  • DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4.1 FlashGPT-5.2 Codex
ProviderDeepSeekOpenAI
Noometry Index50.342.2
Released2026-09-092025-12-18
WeightsOpenProprietary
Context window1M400K
Max output393K128K
Input $ / M tokens$0.15$1.75
Output $ / M tokens$0.60$14
Results tracked255

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.8 (#29), GPT-5.2 Codex: 45.4 (#66)

BenchmarkDeepSeek V4.1 FlashGPT-5.2 Codex
LMArena WebDev16201339
ALE-Bench1,0921,300
SWE-bench Verified (bash only)—72.8%
SWE-bench Multilingual—66.3%
SciCode51.9%—
LMArena Coding1511—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: —, GPT-5.2 Codex: 40.7 (#20)

BenchmarkDeepSeek V4.1 FlashGPT-5.2 Codex
Terminal-Bench—66.5%

Reasoning Not comparable

DeepSeek V4.1 Flash: 46.2 (#39), GPT-5.2 Codex: —

BenchmarkDeepSeek V4.1 FlashGPT-5.2 Codex
NYT Connections (extended)89.6%—
CritPt14.3%—
LMArena Hard Prompts1485—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index155.01—

Math Not comparable

DeepSeek V4.1 Flash: 48.4 (#52), GPT-5.2 Codex: —

BenchmarkDeepSeek V4.1 FlashGPT-5.2 Codex
ProofBench54%—
LMArena Math1493—

Knowledge Not comparable

DeepSeek V4.1 Flash: 41.6 (#97), GPT-5.2 Codex: —

BenchmarkDeepSeek V4.1 FlashGPT-5.2 Codex
LMArena Expert1505—

Multilingual Not comparable

DeepSeek V4.1 Flash: 55.5 (#29), GPT-5.2 Codex: —

BenchmarkDeepSeek V4.1 FlashGPT-5.2 Codex
LMArena Non-English1452—
LMArena Chinese1506—
LMArena French1448—
LMArena Russian1473—
LMArena Spanish1499—

Instruction Following Not comparable

DeepSeek V4.1 Flash: 77.6 (#24), GPT-5.2 Codex: —

BenchmarkDeepSeek V4.1 FlashGPT-5.2 Codex
LMArena Instruction Following1475—

Long Context Not comparable

DeepSeek V4.1 Flash: 45.2 (#46), GPT-5.2 Codex: —

BenchmarkDeepSeek V4.1 FlashGPT-5.2 Codex
LMArena Longer Query1476—

Writing & Preference Not comparable

DeepSeek V4.1 Flash: 65.8 (#43), GPT-5.2 Codex: —

BenchmarkDeepSeek V4.1 FlashGPT-5.2 Codex
LMArena Text1465—
LMArena Creative Writing1436—
EQ-Bench Creative Writing1540—
LMArena Multi-Turn1460—

Frequently asked questions

Is DeepSeek V4.1 Flash better than GPT-5.2 Codex?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 42.2 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or GPT-5.2 Codex?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

Is DeepSeek V4.1 Flash or GPT-5.2 Codex better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 45.4 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 400K.

How many benchmarks do DeepSeek V4.1 Flash and GPT-5.2 Codex share?

2 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and GPT-5.2 Codex has 5.

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