DeepSeek V4.1 Flash 1017 vs GPT-6.1 Terra

GPT-6.1 Terra leads DeepSeek V4.1 Flash 1017 on coding, 77.4 to 70.3 on the Vibe Coding Index, and DeepSeek V4.1 Flash 1017 costs 8.3x less per output token ($0.60 vs $5.00 per million). Updated October 29, 2026; 33 benchmarks have a result for both.

Replace DeepSeek V4.1 Flash 1017 Replace GPT-6.1 Terra

DeepSeek V4.1 Flash 1017DeepSeek

Coding: 70.3
Overall: 68.6
Output $/M: $0.60

GPT-6.1 TerraOpenAI

Coding: 77.4
Overall: 76.8
Output $/M: $5.00

vs boards won of 33 shared, 1 tied

DeepSeek V4.1 Flash 1017 or GPT-6.1 Terra: which to pick

Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 70.3 for DeepSeek V4.1 Flash 1017.

Pick DeepSeek V4.1 Flash 1017 for output tokens 8.3x cheaper ($0.60 vs $5.00 per million) and work measured by LiveBench coding or Vibe Code Bench (Vals AI), where it leads.

Model ADeepSeek V4.1 Flash 1017DeepSeek70.3/1004 independent benchmarksNo cost per solved task Model BGPT-6.1 TerraOpenAI77.4/1004 independent benchmarksNo cost per solved task

33143

Shared results: 33
DeepSeek V4.1 Flash 1017 only: 14
GPT-6.1 Terra only: 3
Like-for-like categories: 7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

Coding
Vibe Coding Index, six public coding benchmarks
GPT-6.1 Terra
GPT-6.1 Terra scores 77.4 against 70.3.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only GPT-6.1 Terra has a AA Intelligence Index result, 51.0.
Directional only
Web design
Design Arena: websites
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 leads, 1302 against 1283.
Same board, both measured
General
Vals Index
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 leads, 61.3% against 60.5%.
Same board, both measured
Long documents
Listed context window
GPT-6.1 Terra
GPT-6.1 Terra takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 $0.0004, GPT-6.1 Terra $0.0035 per turn.
List prices

At a glance

Coding index: DeepSeek V4.1 Flash 1017 70.3 from 4 benchmarks, GPT-6.1 Terra 77.4 from 4 benchmarks.
Widest category: Math, 22.2 points apart on average over 3 shared benchmarks.
Widest single gap: FrontierMath, tier 4: DeepSeek V4.1 Flash 1017 46.3% against GPT-6.1 Terra 92.7%, 46.3 points apart on a 0 to 100 scale.
Output price: DeepSeek V4.1 Flash 1017 $0.60 against GPT-6.1 Terra $5.00 per million output tokens, 8.3x apart.
Context window: DeepSeek V4.1 Flash 1017 takes 1.05M tokens, GPT-6.1 Terra 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
Category	DeepSeek V4.1 Flash 1017	GPT-6.1 Terra	Ties
Coding	4	4
Agentic work	5	2
Reasoning	1	4
Math	0	3
Knowledge	0	1
Web design	3	2
General	2	1	1 tie
All shared boards	15	17	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index44

Coding benchmarks for DeepSeek V4.1 Flash 1017 and GPT-6.1 Terra
Benchmark	DeepSeek V4.1 Flash 1017	GPT-6.1 Terra	Leader
LiveBench coding	96.0%	94.3%	DeepSeek V4.1 Flash 1017
LMArena WebDev	1665	1673	GPT-6.1 Terra
Terminal-Bench 4 (Vals AI)	31.8%	49.5%	GPT-6.1 Terra
Vibe Code Bench (Vals AI)	87.7%	84.0%	DeepSeek V4.1 Flash 1017
Code migration (Vals AI)	44.2%	Not measured	Only DeepSeek V4.1 Flash 1017 measured
SciCode	55.9%	55.1%	DeepSeek V4.1 Flash 1017
ALE-Bench	1622.0	2608.8	GPT-6.1 Terra
LMArena WebDev: React	1673	1657	DeepSeek V4.1 Flash 1017
LMArena WebDev: HTML	1701	1719	GPT-6.1 Terra
Neither model has a result on the other 34 boards here

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared

Intelligence benchmarks for DeepSeek V4.1 Flash 1017 and GPT-6.1 Terra
Benchmark	DeepSeek V4.1 Flash 1017	GPT-6.1 Terra	Leader
AA Intelligence Index	Not measured	51.0	Only GPT-6.1 Terra measured
Neither model has a result on the other 1 board here

Agentic workLike-for-likePublic boards, shown as published, kept out of the index52

Agentic work benchmarks for DeepSeek V4.1 Flash 1017 and GPT-6.1 Terra
Benchmark	DeepSeek V4.1 Flash 1017	GPT-6.1 Terra	Leader
Design Arena: spreadsheets	1280	Not measured	Only DeepSeek V4.1 Flash 1017 measured
LiveBench research	79.5%	73.9%	DeepSeek V4.1 Flash 1017
LiveBench browser	67.2%	93.1%	GPT-6.1 Terra
LiveBench long agentic	40.9%	48.6%	GPT-6.1 Terra
Finance Agent (Vals AI)	57.0%	Not measured	Only DeepSeek V4.1 Flash 1017 measured
Tax Agent Bench (Vals AI)	44.4%	15.2%	DeepSeek V4.1 Flash 1017
Legal Research Bench (Vals AI)	45.2%	26.0%	DeepSeek V4.1 Flash 1017
Harvey's Legal Agent Benchmark (Vals AI)	14.2%	1.7%	DeepSeek V4.1 Flash 1017
Excel Modeling Benchmark (Vals AI)	61.8%	Not measured	Only DeepSeek V4.1 Flash 1017 measured
APEX-Agents	69.8%	68.3%	DeepSeek V4.1 Flash 1017
Neither model has a result on the other 32 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index14

Reasoning benchmarks for DeepSeek V4.1 Flash 1017 and GPT-6.1 Terra
Benchmark	DeepSeek V4.1 Flash 1017	GPT-6.1 Terra	Leader
LiveBench reasoning	89.1%	88.7%	DeepSeek V4.1 Flash 1017
Humanity's Last Exam (Artificial Analysis run)	43.3%	46.2%	GPT-6.1 Terra
GPQA Diamond (Epoch AI run)	93.2%	94.3%	GPT-6.1 Terra
ARC-AGI	94.5%	Not measured	Only DeepSeek V4.1 Flash 1017 measured
ARC-AGI-2	78.1%	Not measured	Only DeepSeek V4.1 Flash 1017 measured
Chess puzzles	46.0%	Not measured	Only DeepSeek V4.1 Flash 1017 measured
Mystery game puzzles	49.0%	74.0%	GPT-6.1 Terra
EBR-bench	Not measured	78.1%	Only GPT-6.1 Terra measured
Humanity's Last Exam (Scale run)	20.5%	35.7%	GPT-6.1 Terra
Neither model has a result on the other 14 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index03

Math benchmarks for DeepSeek V4.1 Flash 1017 and GPT-6.1 Terra
Benchmark	DeepSeek V4.1 Flash 1017	GPT-6.1 Terra	Leader
OTIS Mock AIME	99.4%	100.0%	GPT-6.1 Terra
FrontierMath, tiers 1 to 3	71.2%	90.9%	GPT-6.1 Terra
FrontierMath, tier 4	46.3%	92.7%	GPT-6.1 Terra
MathArena	51.6%	Not measured	Only DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 10 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01

Knowledge benchmarks for DeepSeek V4.1 Flash 1017 and GPT-6.1 Terra
Benchmark	DeepSeek V4.1 Flash 1017	GPT-6.1 Terra	Leader
SimpleQA Verified	42.5%	57.3%	GPT-6.1 Terra
PRBench Finance	47.1%	Not measured	Only DeepSeek V4.1 Flash 1017 measured
PRBench Legal	47.3%	Not measured	Only DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 17 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index32

Web design benchmarks for DeepSeek V4.1 Flash 1017 and GPT-6.1 Terra
Benchmark	DeepSeek V4.1 Flash 1017	GPT-6.1 Terra	Leader
Design Arena: websites	1302	1283	DeepSeek V4.1 Flash 1017
Design Arena: UI components	1302	1277	DeepSeek V4.1 Flash 1017
Design Arena: game dev	1259	1348	GPT-6.1 Terra
Design Arena: data viz	1263	Not measured	Only DeepSeek V4.1 Flash 1017 measured
Design Arena: 3D	1360	Not measured	Only DeepSeek V4.1 Flash 1017 measured
Design Arena: all code categories	1289	1295	GPT-6.1 Terra
Design Arena: SVG	1245	Not measured	Only DeepSeek V4.1 Flash 1017 measured
Design Arena: ASCII art	1229	Not measured	Only DeepSeek V4.1 Flash 1017 measured
LiveBench design	83.4%	82.3%	DeepSeek V4.1 Flash 1017

GeneralLike-for-likePublic boards, shown as published, kept out of the index21

General benchmarks for DeepSeek V4.1 Flash 1017 and GPT-6.1 Terra
Benchmark	DeepSeek V4.1 Flash 1017	GPT-6.1 Terra	Leader
Vals Index	61.3%	60.5%	DeepSeek V4.1 Flash 1017
LiveBench data analysis	79.5%	82.3%	GPT-6.1 Terra
Long context reasoning (AA-LCR)	82.7%	82.7%	Tie
Furniture assembly	Not measured	79.2%	Only GPT-6.1 Terra measured
MultiChallenge	74.9%	74.2%	DeepSeek V4.1 Flash 1017
Neither model has a result on the other 43 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for DeepSeek V4.1 Flash 1017 and GPT-6.1 Terra
Benchmark	DeepSeek V4.1 Flash 1017	GPT-6.1 Terra	Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

DeepSeek V4.1 Flash 1017$0.0004Fits in one request

GPT-6.1 Terra$0.0035Fits in one request

DeepSeek V4.1 Flash 1017 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4.1 Flash 1017$0.0093Fits in one request

GPT-6.1 Terra$0.065Fits in one request

DeepSeek V4.1 Flash 1017 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4.1 Flash 1017$0.036Fits in one request

GPT-6.1 Terra$0.250Fits in one request

DeepSeek V4.1 Flash 1017 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of DeepSeek V4.1 Flash 1017 and GPT-6.1 Terra
Specification	DeepSeek V4.1 Flash 1017	OpenAI GPT-6.1 Terra
Maker	DeepSeek	OpenAI
Weights	Open weights	No public weights listed
Released	October 17, 2026	October 26, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.15	$1.00
Output $/Mtok	$0.60	$5.00
Coding index	70.3	77.4
Independent measurements behind it	4	4
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is DeepSeek V4.1 Flash 1017 better than GPT-6.1 Terra for coding?

Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 70.3 for DeepSeek V4.1 Flash 1017. Pick DeepSeek V4.1 Flash 1017 for output tokens 8.3x cheaper ($0.60 vs $5.00 per million) and work measured by LiveBench coding or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, DeepSeek V4.1 Flash 1017 or GPT-6.1 Terra?

DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 per million output tokens; GPT-6.1 Terra costs $1.00 and $5.00. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4.1 Flash 1017 or GPT-6.1 Terra?

GPT-6.1 Terra, with 1.05M tokens against 1.05M.

How many benchmarks is the DeepSeek V4.1 Flash 1017 vs GPT-6.1 Terra comparison based on?

33 benchmarks have a result for both models as of October 29, 2026. DeepSeek V4.1 Flash 1017's coding index rests on 4 independent benchmarks and GPT-6.1 Terra's on 4. Where only one model has a result, the page says so instead of naming a winner.

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DeepSeek V4.1 Flash 1017 or GPT-6.1 Terra: which to pick

Which one for your work

Coding

Intelligence

Web design

General

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next