Compare / DeepSeek-V4.1-Flash-1017 vs GPT-5.4 nano

DeepSeek-V4.1-Flash-1017 vs GPT-5.4 nano

Which is cheaper, which is more capable, and which does better at each kind of work, from 10 results on 2 sources that measured both models.

DeepSeekDeepSeek-V4.1-Flash-1017 Released 17 Oct 2026 · $0.30 in · $1.20 out
OpenAIGPT-5.4 nano Released 17 Mar 2026 · $0.20 in · $1.25 out
DeepSeek-V4.1-Flash-1017 wins 71 too close to callGPT-5.4 nano wins 2

Of the 10 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.

Results as of 20 October 2026 (catalogue release 2026-10-20-96eb40c3ec63). See also DeepSeek vs OpenAI, every model from both labs.

DeepSeek-V4.1-Flash-1017 or GPT-5.4 nano? The short answer

Pick DeepSeek-V4.1-Flash-1017: it scores higher (Intelligence Index 45.1 against 20.7) at about the same price.

  • They cost about the same to run: $0.005 and $0.005 per game of bullet chess on BulletBench.
  • DeepSeek-V4.1-Flash-1017 scores higher on the Artificial Analysis Intelligence Index: 45.1 against 20.7.
  • DeepSeek-V4.1-Flash-1017 is newer: released 17 Oct 2026, against 17 Mar 2026 for GPT-5.4 nano.
  • On third-party benchmarks, on the results both models have: DeepSeek-V4.1-Flash-1017 does better for agents and tool use and reasoning and knowledge.

Head to head

45.1
Intelligence Index
20.7
$0.52
Price per million tokens, blendedlower is better
$0.46
1,048,576
Context window, tokens
400,000

Every fact side by side

DeepSeek-V4.1-Flash-1017GPT-5.4 nano
Price per million tokens$0.30 in · $1.20 out$0.20 in · $1.25 out
Blended (3 in : 1 out)$0.52$0.46
Cheapest host, blended–$0.46 (Azure)
Cost per game of bullet chess (BulletBench)$0.005$0.005
Cached input, per million$0.006 cached input$0.020 cached input
Intelligence Index45.120.7
Spring Prompt overall44–
Output speed, tokens a second212–
Context window1,048,576 tokens400,000 tokens
Released17 Oct 2026 (newer)17 Mar 2026
WeightsOpenClosed
Developer based inChinathe US

Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.

Which is better for what

Each model's rank among the models on sale today, for each kind of work, from our own benchmarks and licensed sources. Further right is better; the better rank is in green.

Product listingsTurning a sparse product feed and photos into listings that can go live 21 of 24 not measured
Decks from an analysisTurning a finished analysis into a deck you could present as it is 12 of 24 not measured
User surveysPlanning a user survey and reading its results without being misled 5 of 13 not measured
Marketing planningPlanning a year of ad spend without overspending 11 of 24 not measured
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 22 of 168 68 of 168
Reasoning and knowledgeHard questions across science, maths and general knowledge 22 of 202 93 of 202
WritingWhat people prefer in blind comparisons, and judged writing quality not measured 111 of 189
Sticking to the factsSummarising without inventing things, and factual answers not measured 90 of 153
Speed under pressureGood decisions against a real clock (fast chess) 21 of 27 23 of 27

From our research

Every shared result

Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. Under each measure, every model that benchmark has measured is a grey tick, best to the right, so you can see where the two sit in the field. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.

MeasureDeepSeek-V4.1-Flash-1017GPT-5.4 nano
BulletBench measured by Spring Prompt · 3 results
Cost per game · Bullet 60sUS dollars, lower is better 13 · 14 of 32 measured $0.0047low reasoning $0.0050no reasoning
Ladder Elo · Bullet 60sladder Elo, higher is better 27 · 29 of 32 measured 147low reasoning 33no reasoning
Games lost on time · Bullet 60s% of games, lower is better 29 · 26 of 32 measured 87.5%low reasoning 66.7%no reasoning
Artificial Analysis reported by Artificial Analysis · 3 results
Artificial Analysis Intelligence Indexindex score, higher is better 16 · 107 of 249 measured 45.1max reasoning 20.7xhigh reasoning
Humanity's Last Exam% of questions, higher is better 27 · 87 of 248 measured 43.3%max reasoning 28.3%xhigh reasoning
Terminal-Bench 4.0% of tasks, higher is better 16 · 63 of 118 measured 33.8%max reasoning 0.5%xhigh reasoning
Show all 10 results (4 more)
MeasureDeepSeek-V4.1-Flash-1017GPT-5.4 nano
BulletBench measured by Spring Prompt · 2 results
Invalid moves · Bullet 60s% of moves, lower is better 1 · 31 of 32 measured 0.0%low reasoning 3.1%no reasoning
Median move time · Bullet 60smilliseconds, lower is better 31 · 16 of 32 measured 3.3 slow reasoning 1.1 sno reasoning
Artificial Analysis reported by Artificial Analysis · 2 results
Long-context reasoning (AA-LCR)% of questions, higher is better 19 · 76 of 239 measured 82.7%max reasoning 76.7%xhigh reasoning
SciCode% of problems, higher is better 24 · 63 of 119 measured 55.9%max reasoning 47.2%xhigh reasoning

Quick answers

Is DeepSeek-V4.1-Flash-1017 better than GPT-5.4 nano?

Pick DeepSeek-V4.1-Flash-1017: it scores higher (Intelligence Index 45.1 against 20.7) at about the same price.

Which is cheaper, DeepSeek-V4.1-Flash-1017 or GPT-5.4 nano?

They cost about the same to run: $0.005 and $0.005 per game of bullet chess on BulletBench.

Which is better for agents and tool use, DeepSeek-V4.1-Flash-1017 or GPT-5.4 nano?

DeepSeek-V4.1-Flash-1017 ranks 22 of 168 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 68 for GPT-5.4 nano.

Which is better for reasoning and knowledge, DeepSeek-V4.1-Flash-1017 or GPT-5.4 nano?

DeepSeek-V4.1-Flash-1017 ranks 22 of 202 models on sale for hard questions across science, maths and general knowledge, against 93 for GPT-5.4 nano.

Which is better for speed under pressure, DeepSeek-V4.1-Flash-1017 or GPT-5.4 nano?

DeepSeek-V4.1-Flash-1017 ranks 21 of 27 models on sale for good decisions against a real clock (fast chess), against 23 for GPT-5.4 nano.

Which has the bigger context window, DeepSeek-V4.1-Flash-1017 or GPT-5.4 nano?

DeepSeek-V4.1-Flash-1017: 1,048,576 tokens, against 400,000 for GPT-5.4 nano.

Run DeepSeek-V4.1-Flash-1017 and GPT-5.4 nano on your own prompt

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