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DeepSeek-V4-Flash vs GPT-5.6 Luna

45 SHARED BENCHMARKS

Across 45 shared benchmarks, DeepSeek-V4-Flash scores higher on 10 and GPT-5.6 Luna on 35. The widest gap is FrontierMath Tier 4, where GPT-5.6 Luna scores 58.5 against 24.4. GPT-5.6 Luna is the cheaper of the two on tracked API pricing ($0.20 against $0.44 per million input tokens).

DEEPSEEKVSOPENAI45 SHARED10–35 HEAD-TO-HEADNEWEST SCORE ADDED

At a glance

MakerDeepSeekOpenAI
Released
Price per 1M tokens input / output$0.44 / $1.32$0.20 / $1.20
Cost of 1M in + 1M out$1.76$1.40 1.3× less
Head-to-head of 45 shared benchmarks10 wins35 wins
Scores tracked independently verified257 32 ◆201 43 ◆

Release dates per Artificial Analysis. Prices: Artificial Analysis for DeepSeek-V4-Flash; Artificial Analysis for GPT-5.6 Luna. ◆ = independently verified score.

Where each leadsby capability area · benchmark wins

AreaDeepSeek-V4-FlashWINSGPT-5.6 Luna
Reasoning24GPT-5.6 Luna leads 4 of 6 · widest: CritPt 16.6 vs 20.6
Coding07GPT-5.6 Luna leads 7 of 7 · widest: SWE-bench Pro 52.6 vs 62.7
Agentic23GPT-5.6 Luna leads 3 of 5 · widest: AA IT-Bench SRE 31.5 vs 40.3
Factuality12GPT-5.6 Luna leads 2 of 3 · widest: SimpleQA Verified 34.1 vs 41
Instruction Following10DeepSeek-V4-Flash leads 1 of 1 · widest: LiveBench · Instruction Following 65.5 vs 60.1
Long Context01GPT-5.6 Luna leads 1 of 1 · widest: AA-LCR 79.7 vs 83.7
Math05GPT-5.6 Luna leads 5 of 5 · widest: FrontierMath Tier 4 24.4 vs 58.5

Biggest gaps

DeepSeek-V4-Flash pulls furthest ahead on

  1. τ-Bench V3 · Banking39.4 vs 31.1
  2. LiveBench · Instruction Following65.5 vs 60.1

GPT-5.6 Luna pulls furthest ahead on

  1. FrontierMath Tier 458.5 vs 24.4
  2. FrontierMath Tiers 1-3 (v2)82.1 vs 57.5
  3. AA IT-Bench SRE40.3 vs 31.5

Every shared benchmark45 · grouped by area

Reasoning 6

ARC-AGI-261.4 ◆◆ 59.6
CritPt16.620.6
GPQA Diamond90.891.1
LiveBench · Reasoning86.6 ◆◆ 85.6
SimpleBench46.3 ◆◆ 46.8

Agentic 5

BrowseComp73.283.3
GDPVal46.347.2
Terminal-Bench 4.012.111.6

Instruction Following 1

Long Context 1

Math 5

Each score is the one the model's own page shows — the most authoritative tracked result for that benchmark, on the benchmark's standard methodology (source-attributed). ↓ marks lower-is-better metrics; ◆ an independently verified score. Open either model for its full surface, provenance and pricing. Quoted rates are the price-setter row we currently track for each model — its direct or vendor-official listing where one exists (direct, direct), otherwise the lowest tracked offer.

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