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DeepSeek V3.1 Terminus vs Qwen3 235B A22B Thinking 2507

DeepSeek V3.1 Terminus leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 14.8 to 12.7, and DeepSeek V3.1 Terminus costs 3.5x less per output token ($1.0142 vs $3.50 per million). Updated October 22, 2026; 31 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace Qwen3 235B A22B Thinking 2507
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
27
Qwen3 235B A22B Thinking 2507Qwen
Coding
No data
Overall
52.9
Output $/M
$3.50
4
vs boards won of 31 shared

DeepSeek V3.1 Terminus or Qwen3 235B A22B Thinking 2507: which to pick

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

Pick DeepSeek V3.1 Terminus for output tokens 3.5x cheaper ($1.0142 vs $3.50 per million) and a larger context window (164K against 128K tokens).

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 235B A22B Thinking 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
31
DeepSeek V3.1 Terminus only
14
Qwen3 235B A22B Thinking 2507 only
15
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
DeepSeek V3.1 Terminus not benchmarked, Qwen3 235B A22B Thinking 2507 not benchmarked.
Widest category
Web design, 21.9 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: UI components: DeepSeek V3.1 Terminus 1180 against Qwen3 235B A22B Thinking 2507 942, 29.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 3.5x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, Qwen3 235B A22B Thinking 2507 128K.

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
CategoryDeepSeek V3.1 TerminusBarsQwen3 235B A22B Thinking 2507Ties
Coding21
Intelligence10
Agentic work10
Reasoning20
Math01
Knowledge40
Web design60
General112
All shared boards274
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
Coding benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Thinking 2507Leader
AA Coding Index43.522.1DeepSeek V3.1 Terminus
LiveCodeBench (Artificial Analysis run)79.8%Not measuredOnly DeepSeek V3.1 Terminus measured
SciCode38.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Terminal-Bench Hard (Artificial Analysis run)31.8%Not measuredOnly DeepSeek V3.1 Terminus measured
WeirdMLNot measured41.0%Only Qwen3 235B A22B Thinking 2507 measured
ALE-Bench745.2Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: coding14251424DeepSeek V3.1 Terminus
LMArena Text: software and IT14261431Qwen3 235B A22B Thinking 2507
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Thinking 2507Leader
AA Intelligence Index14.812.7DeepSeek 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 index10
Agentic work benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Thinking 2507Leader
AA Agentic Index6.81.3DeepSeek V3.1 Terminus
τ²-Bench Telecom37.1%Not measuredOnly DeepSeek V3.1 Terminus measured
Vending-Bench 2Not measured-$11Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Thinking 2507Leader
GPQA Diamond (Artificial Analysis run)79.2%Not measuredOnly DeepSeek V3.1 Terminus measured
Humanity's Last Exam (Artificial Analysis run)16.4%Not measuredOnly DeepSeek V3.1 Terminus measured
GPQA Diamond (Epoch AI run)Not measured80.1%Only Qwen3 235B A22B Thinking 2507 measured
Mystery game puzzlesNot measured9.0%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: hard prompts14261416DeepSeek V3.1 Terminus
LMArena Text: expertNot measured1463Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: hard prompts in English14321432DeepSeek V3.1 Terminus
Kagi LLM Benchmark57.4%Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Thinking 2507Leader
AA Math Index89.7Not measuredOnly DeepSeek V3.1 Terminus measured
AIME 2025 (Artificial Analysis run)89.7%Not measuredOnly DeepSeek V3.1 Terminus measured
OTIS Mock AIMENot measured86.7%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: math14021412Qwen3 235B A22B Thinking 2507
LMArena Text: mathematical workNot measured1435Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Thinking 2507Leader
MMLU Pro (Artificial Analysis run)85.1%Not measuredOnly DeepSeek V3.1 Terminus measured
SimpleQA VerifiedNot measured40.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: science14511433DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681456DeepSeek V3.1 Terminus
LMArena Text: legal and government14571415DeepSeek V3.1 Terminus
LMArena Text: business and finance14141413DeepSeek V3.1 Terminus
Neither model has a result on the other 14 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Thinking 2507Leader
Design Arena: websites11871052DeepSeek V3.1 Terminus
Design Arena: UI components1180942DeepSeek V3.1 Terminus
Design Arena: game dev1131956DeepSeek V3.1 Terminus
Design Arena: data viz1168950DeepSeek V3.1 Terminus
Design Arena: 3D1141997DeepSeek V3.1 Terminus
Design Arena: all code categories11751032DeepSeek V3.1 Terminus
Design Arena: SVG1065Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index112
General benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Thinking 2507Leader
IFBench57.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Long context reasoning (AA-LCR)69.3%Not measuredOnly DeepSeek V3.1 Terminus measured
DTBench81.3%80.3%DeepSeek V3.1 Terminus
LMCA28.6%29.3%Qwen3 235B A22B Thinking 2507
Fiction.LiveBenchNot measured75.0%Only Qwen3 235B A22B Thinking 2507 measured
Creative writing (Lech Mazur)Not measured82.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text14191415DeepSeek V3.1 Terminus
LMArena Text: instruction following14041386DeepSeek V3.1 Terminus
LMArena Text: creative writing14031384DeepSeek V3.1 Terminus
LMArena Text: English14291429Qwen3 235B A22B Thinking 2507
LMArena Text: non-English14081397DeepSeek V3.1 Terminus
LMArena Text: ChineseNot measured1481Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: GermanNot measured1408Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: JapaneseNot measured1386Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: KoreanNot measured1375Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: SpanishNot measured1389Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: Russian14351401DeepSeek V3.1 Terminus
LMArena Text: Polish14271390DeepSeek V3.1 Terminus
LMArena Text: multi-turn14111406DeepSeek V3.1 Terminus
LMArena Text: longer queries14221400DeepSeek V3.1 Terminus
LMArena Text: writing and language14091388DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911370DeepSeek V3.1 Terminus
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Thinking 2507Leader
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 V3.1 Terminus$0.0008Fits in one request
Qwen3 235B A22B Thinking 2507$0.0022Fits in one request

DeepSeek V3.1 Terminus costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1 Terminus$0.018Fits in one request
Qwen3 235B A22B Thinking 2507$0.033Fits in one request

DeepSeek V3.1 Terminus costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1 Terminus$0.071Exceeds the context window
Qwen3 235B A22B Thinking 2507$0.125Exceeds 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 DeepSeek V3.1 Terminus and Qwen3 235B A22B Thinking 2507
SpecificationDeepSeek V3.1 TerminusQwen3 235B A22B Thinking 2507
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedSeptember 22, 2025July 25, 2025
Context window164K128K
Input $/Mtok$0.3063$0.45
Output $/Mtok$1.0142$3.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than Qwen3 235B A22B Thinking 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for output tokens 3.5x cheaper ($1.0142 vs $3.50 per million) and a larger context window (164K against 128K tokens).

Which is cheaper, DeepSeek V3.1 Terminus or Qwen3 235B A22B Thinking 2507?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3.1 Terminus or Qwen3 235B A22B Thinking 2507?

DeepSeek V3.1 Terminus, with 164K tokens against 128K.

How many benchmarks is the DeepSeek V3.1 Terminus vs Qwen3 235B A22B Thinking 2507 comparison based on?

31 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.1 Terminus's coding index rests on 0 independent benchmarks and Qwen3 235B A22B Thinking 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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