ResearchLLM Verifications Leaderboard

Data as of · 78 models, 80 questions · reviewed by Suhas Bhairav · methodology

Head to head · tested 27 Oct 2026

DeepSeek V4.1 Flash 1017 vs GPT-6 Luna: accuracy, speed and price

Similar accuracy; GPT-6 Luna costs less per question.

DeepSeekDeepSeek V4.1 Flash 101773.8% score · #18$0.00091 per question57 tok/sOpenAIGPT-6 Luna72.5% score · #21$0.00025 per question137 tok/s

Verdict

Built from the measurements below

  • Accuracy is too close to call: DeepSeek V4.1 Flash 1017 scored 73.8% and GPT-6 Luna 72.5% on the same 80 questions, a gap within what chance alone could produce.
  • GPT-6 Luna is 3.7× cheaper per question as billed ($0.00025 vs $0.00091), reasoning tokens included.
  • GPT-6 Luna generates text 2.4× faster: 137 tokens per second against 57.
  • DeepSeek V4.1 Flash 1017 starts answering sooner: 0.9 s to the first token, against 1.2 s for GPT-6 Luna.

Which should you choose?

Choose DeepSeek V4.1 Flash 1017 for a quicker first token, open weights you can run yourself and more hosts to choose from on OpenRouter (30 against 3). Choose GPT-6 Luna for the lower cost per correct answer ($0.00034 against $0.0012), faster streaming and shorter outputs (about 431 tokens per question against 1,318). The widest subject gap is in medicine: GPT-6 Luna answered 6 of 11 correctly, DeepSeek V4.1 Flash 1017 4 of 11. With so few questions per subject, treat this as a lead to test on your own prompts, not a result.

Accuracy gap +1.3 points (z = 0.18). A winner is called only when z is at least 1.96, the usual 95% threshold. Speed, latency and price need a 10% margin.

Head to head

Same questions, same prompt, same API

MeasureDeepSeek V4.1 Flash 1017GPT-6 LunaEdge
Verification scoreHigher is better73.8%72.5%Too close to call
Cost per questionLower is better$0.00091$0.00025GPT-6 Luna
Output speedHigher is better57137GPT-6 Luna
Time to first tokenLower is better0.9 s1.2 sDeepSeek V4.1 Flash 1017
End-to-end response timeLower is better7.3 s4.3 sGPT-6 Luna
Tokens per questionLower is better1,318431GPT-6 Luna
Context windowHigher is better1M1.1MSimilar

Side by side

Bars are scaled to the larger of the two values. The winner on each measure is marked in bold.

Every measure

DeepSeek V4.1 Flash 1017 first, GPT-6 Luna second

Verification scorehigher is better
DeepSeek V4.1 Flash 101773.8%
GPT-6 Luna72.5%
Cost per questionlower is better
DeepSeek V4.1 Flash 1017$0.00091
GPT-6 Luna$0.00025
Output speedhigher is better
DeepSeek V4.1 Flash 101757
GPT-6 Luna137
Time to first tokenlower is better
DeepSeek V4.1 Flash 10170.9 s
GPT-6 Luna1.2 s
End-to-end response timelower is better
DeepSeek V4.1 Flash 10177.3 s
GPT-6 Luna4.3 s
Tokens per questionlower is better
DeepSeek V4.1 Flash 10171,318
GPT-6 Luna431
Context windowhigher is better
DeepSeek V4.1 Flash 10171M
GPT-6 Luna1.1M

Score vs. cost per question

Both models in color, every other model in grey

Most attractive quadrant0255075100$0.00001$0.0001$0.001$0.01$0.10Cost per question (USD, log) →Verification score (%) →Qwen3.8 2.4T A95BCommand AReka Flash 3Gemma 4 26B A4BGemma 4 31BQwen3.5 397B A17BHermes 4 405BMuse WonderGrok 4.7o3gpt-oss-20bMinistral 3 3B 2512Nova Micro 1.0Phi 4Granite 4.2 8BHy3GLM 5.3 FlashSolar Pro 4Trinity Large ThinkingMiniMax M3Mistral Large 4Claude Opus 5.5DeepSeek V4.1 Flash 1017Gemini 4 ArgonGPT-5.4gpt-oss-120bLlama 4 Maverick

Specifications and pricing

From OpenRouter's catalogue, plus the leaderboard's test dates

SpecificationDeepSeek V4.1 Flash 1017GPT-6 Luna
CreatorDeepSeekOpenAI
Released17 Oct 202622 Sept 2026
WeightsOpen weights—
ReasoningYesYes
Inputtext, imagefile, image, text
Outputtexttext
Context window1M tokens1.1M tokens
Knowledge cutoff——
List price in / out per 1M$0.15 / $0.6$0.1 / $0.5
Blended price per 1M (3:1)$0.26$0.20
Cheapest hostSail Research · $0.101 / $0.15OpenAI · $0.05 / $0.25
Hosts on OpenRouter303
Last tested25 Oct 202625 Oct 2026

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DeepSeek V4.1 Flash 1017 vs GPT-6 Luna: frequently asked questions

Is DeepSeek V4.1 Flash 1017 better than GPT-6 Luna?
On accuracy they are statistically tied: DeepSeek V4.1 Flash 1017 scored 73.8% and GPT-6 Luna 72.5% on the same 80 questions from open datasets. Similar accuracy; GPT-6 Luna costs less per question.
Which is cheaper, DeepSeek V4.1 Flash 1017 or GPT-6 Luna?
GPT-6 Luna is cheaper: $0.00025 per question as billed, against $0.00091. List prices: DeepSeek V4.1 Flash 1017 $0.15 in / $0.6 out, GPT-6 Luna $0.1 in / $0.5 out per million tokens.
Which is faster, DeepSeek V4.1 Flash 1017 or GPT-6 Luna?
GPT-6 Luna is faster at 137 output tokens per second, against 57. Time to first token: 0.9 s for DeepSeek V4.1 Flash 1017, 1.2 s for GPT-6 Luna.
Which has the larger context window, DeepSeek V4.1 Flash 1017 or GPT-6 Luna?
Both accept about the same amount of context: 1M and 1.1M tokens.