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R1 0528 vs DeepSeek V3.1 Terminus

DeepSeek V3.1 Terminus leads R1 0528 on the Artificial Analysis Intelligence Index, 14.8 to 13.1, and DeepSeek V3.1 Terminus costs 2.1x less per output token ($1.0142 vs $2.18 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace R1 0528 Replace DeepSeek V3.1 Terminus
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
11
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
28
vs boards won of 39 shared

R1 0528 or DeepSeek V3.1 Terminus: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick R1 0528 for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BDeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
39
R1 0528 only
24
DeepSeek V3.1 Terminus only
6
Like-for-like categories
8 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.

At a glance

Coding index
R1 0528 not benchmarked, DeepSeek V3.1 Terminus not benchmarked.
Widest category
Math, 9.2 points apart on average over 3 shared benchmarks.
Widest single gap
IFBench: R1 0528 39.6% against DeepSeek V3.1 Terminus 57.0%, 17.4 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against DeepSeek V3.1 Terminus $1.0142 per million output tokens, 2.1x apart.
Context window
Both take 164K tokens.

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
CategoryR1 0528BarsDeepSeek V3.1 TerminusTies
Coding32
Intelligence01
Agentic work01
Reasoning13
Math03
Knowledge05
Web design16
General67
All shared boards1128
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for R1 0528 and DeepSeek V3.1 Terminus
BenchmarkR1 0528DeepSeek V3.1 TerminusLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
AA Coding IndexNot measured43.5Only DeepSeek V3.1 Terminus measured
LiveCodeBench (Artificial Analysis run)77.0%79.8%DeepSeek V3.1 Terminus
SciCodeNot measured38.0%Only DeepSeek V3.1 Terminus measured
Terminal-Bench Hard (Artificial Analysis run)15.9%31.8%DeepSeek V3.1 Terminus
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1745.2R1 0528
LMArena Text: coding14271425R1 0528
LMArena Text: software and IT14351426R1 0528
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and DeepSeek V3.1 Terminus
BenchmarkR1 0528DeepSeek V3.1 TerminusLeader
AA Intelligence Index13.114.8DeepSeek V3.1 Terminus
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for R1 0528 and DeepSeek V3.1 Terminus
BenchmarkR1 0528DeepSeek V3.1 TerminusLeader
AA Agentic IndexNot measured6.8Only DeepSeek V3.1 Terminus measured
τ²-Bench Telecom36.5%37.1%DeepSeek V3.1 Terminus
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
BrowseComp-Plus16.4%Not measuredOnly R1 0528 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index13
Reasoning benchmarks for R1 0528 and DeepSeek V3.1 Terminus
BenchmarkR1 0528DeepSeek V3.1 TerminusLeader
GPQA Diamond (Artificial Analysis run)81.3%79.2%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%16.4%DeepSeek V3.1 Terminus
GPQA Diamond (Epoch AI run)76.3%Not measuredOnly R1 0528 measured
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%Not measuredOnly R1 0528 measured
LMArena Text: hard prompts14151426DeepSeek V3.1 Terminus
LMArena Text: expert1394Not measuredOnly R1 0528 measured
LMArena Text: hard prompts in English14221432DeepSeek V3.1 Terminus
Kagi LLM BenchmarkNot measured57.4%Only DeepSeek V3.1 Terminus measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for R1 0528 and DeepSeek V3.1 Terminus
BenchmarkR1 0528DeepSeek V3.1 TerminusLeader
AA Math Index76.089.7DeepSeek V3.1 Terminus
AIME 2025 (Artificial Analysis run)76.0%89.7%DeepSeek V3.1 Terminus
OTIS Mock AIME66.4%Not measuredOnly R1 0528 measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001402DeepSeek V3.1 Terminus
LMArena Text: mathematical work1415Not measuredOnly R1 0528 measured
MathArena12.9%Not measuredOnly R1 0528 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for R1 0528 and DeepSeek V3.1 Terminus
BenchmarkR1 0528DeepSeek V3.1 TerminusLeader
MMLU Pro (Artificial Analysis run)84.9%85.1%DeepSeek V3.1 Terminus
LMArena Text: science14301451DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14451468DeepSeek V3.1 Terminus
LMArena Text: legal and government14191457DeepSeek V3.1 Terminus
LMArena Text: business and finance14021414DeepSeek V3.1 Terminus
PRBench Finance32.7%Not measuredOnly R1 0528 measured
PRBench Legal36.6%Not measuredOnly R1 0528 measured
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for R1 0528 and DeepSeek V3.1 Terminus
BenchmarkR1 0528DeepSeek V3.1 TerminusLeader
Design Arena: websites11491187DeepSeek V3.1 Terminus
Design Arena: UI components11001180DeepSeek V3.1 Terminus
Design Arena: game dev10971131DeepSeek V3.1 Terminus
Design Arena: data viz11821168R1 0528
Design Arena: 3D11101141DeepSeek V3.1 Terminus
Design Arena: all code categories11381175DeepSeek V3.1 Terminus
Design Arena: SVG10381065DeepSeek V3.1 Terminus
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index67
General benchmarks for R1 0528 and DeepSeek V3.1 Terminus
BenchmarkR1 0528DeepSeek V3.1 TerminusLeader
IFBench39.6%57.0%DeepSeek V3.1 Terminus
Long context reasoning (AA-LCR)55.7%69.3%DeepSeek V3.1 Terminus
DTBenchNot measured81.3%Only DeepSeek V3.1 Terminus measured
LMCANot measured28.6%Only DeepSeek V3.1 Terminus measured
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281419R1 0528
LMArena Text: instruction following13821404DeepSeek V3.1 Terminus
LMArena Text: creative writing14051403R1 0528
LMArena Text: English14371429R1 0528
LMArena Text: non-English14121408R1 0528
LMArena Text: Chinese1442Not measuredOnly R1 0528 measured
LMArena Text: German1404Not measuredOnly R1 0528 measured
LMArena Text: Japanese1391Not measuredOnly R1 0528 measured
LMArena Text: Korean1360Not measuredOnly R1 0528 measured
LMArena Text: French1417Not measuredOnly R1 0528 measured
LMArena Text: Spanish1411Not measuredOnly R1 0528 measured
LMArena Text: Russian14231435DeepSeek V3.1 Terminus
LMArena Text: Polish14281427R1 0528
LMArena Text: multi-turn14051411DeepSeek V3.1 Terminus
LMArena Text: longer queries13911422DeepSeek V3.1 Terminus
LMArena Text: writing and language14021409DeepSeek V3.1 Terminus
LMArena Text: entertainment and media14001391R1 0528
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and DeepSeek V3.1 Terminus
BenchmarkR1 0528DeepSeek V3.1 TerminusLeader
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

R1 0528$0.0016Fits in one request
DeepSeek V3.1 Terminus$0.0008Fits in one request

DeepSeek V3.1 Terminus costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
DeepSeek V3.1 Terminus$0.018Fits in one request

DeepSeek V3.1 Terminus costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
DeepSeek V3.1 Terminus$0.071Exceeds the context window

DeepSeek V3.1 Terminus 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 R1 0528 and DeepSeek V3.1 Terminus
SpecificationDeepSeek R1 0528DeepSeek V3.1 Terminus
MakerDeepSeekDeepSeek
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025September 22, 2025
Context window164K164K
Input $/Mtok$0.50$0.3063
Output $/Mtok$2.18$1.0142
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than DeepSeek V3.1 Terminus for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, R1 0528 or DeepSeek V3.1 Terminus?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; DeepSeek V3.1 Terminus costs $0.3063 and $1.0142. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or DeepSeek V3.1 Terminus?

Neither: both take 164K tokens.

How many benchmarks is the R1 0528 vs DeepSeek V3.1 Terminus comparison based on?

39 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and DeepSeek V3.1 Terminus's on 0. Where only one model has a result, the page says so instead of naming a winner.

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