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

DeepSeek V3.1 Terminus leads Qwen3 235B A22B Instruct 2507 on the Artificial Analysis Intelligence Index, 14.8 to 12.0, and Qwen3 235B A22B Instruct 2507 costs 1.3x less per output token ($0.775 vs $1.0142 per million). Updated October 22, 2026; 20 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace Qwen3 235B A22B Instruct 2507
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
15
Qwen3 235B A22B Instruct 2507Qwen
Coding
No data
Overall
No data
Output $/M
$0.775
5
vs boards won of 20 shared

DeepSeek V3.1 Terminus or Qwen3 235B A22B Instruct 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 work measured by SciCode or τ²-Bench Telecom, where it leads.

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 235B A22B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
20
DeepSeek V3.1 Terminus only
25
Qwen3 235B A22B Instruct 2507 only
4
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 Instruct 2507 not benchmarked.
Widest category
Web design, 18.9 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: UI components: DeepSeek V3.1 Terminus 1180 against Qwen3 235B A22B Instruct 2507 963, 27.1 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against Qwen3 235B A22B Instruct 2507 $0.775 per million output tokens, 1.3x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, Qwen3 235B A22B Instruct 2507 262K.

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 Instruct 2507Ties
Coding21
Intelligence10
Agentic work01
Reasoning20
Math02
Knowledge10
Web design60
General31
All shared boards155
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
Coding benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Instruct 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Instruct 2507Leader
AA Coding Index43.5Not measuredOnly DeepSeek V3.1 Terminus measured
LiveCodeBench (Artificial Analysis run)79.8%78.8%DeepSeek V3.1 Terminus
SciCode38.0%41.4%Qwen3 235B A22B Instruct 2507
Terminal-Bench Hard (Artificial Analysis run)31.8%15.2%DeepSeek V3.1 Terminus
WeirdMLNot measured38.7%Only Qwen3 235B A22B Instruct 2507 measured
ALE-Bench745.2Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: coding1425Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: software and IT1426Not measuredOnly DeepSeek V3.1 Terminus measured
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 Instruct 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Instruct 2507Leader
AA Intelligence Index14.812.0DeepSeek 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 DeepSeek V3.1 Terminus and Qwen3 235B A22B Instruct 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Instruct 2507Leader
AA Agentic Index6.8Not measuredOnly DeepSeek V3.1 Terminus measured
τ²-Bench Telecom37.1%53.2%Qwen3 235B A22B Instruct 2507
Berkeley Function Calling Leaderboard (BFCL)Not measured52.1%Only Qwen3 235B A22B Instruct 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 Instruct 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Instruct 2507Leader
GPQA Diamond (Artificial Analysis run)79.2%79.0%DeepSeek V3.1 Terminus
Humanity's Last Exam (Artificial Analysis run)16.4%15.9%DeepSeek V3.1 Terminus
ARC-AGINot measured11.0%Only Qwen3 235B A22B Instruct 2507 measured
ARC-AGI-2Not measured1.3%Only Qwen3 235B A22B Instruct 2507 measured
LMArena Text: hard prompts1426Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: hard prompts in English1432Not measuredOnly DeepSeek V3.1 Terminus measured
Kagi LLM Benchmark57.4%Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Instruct 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Instruct 2507Leader
AA Math Index89.791.0Qwen3 235B A22B Instruct 2507
AIME 2025 (Artificial Analysis run)89.7%91.0%Qwen3 235B A22B Instruct 2507
LMArena Text: math1402Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Instruct 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Instruct 2507Leader
MMLU Pro (Artificial Analysis run)85.1%84.3%DeepSeek V3.1 Terminus
LMArena Text: science1451Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: medicine and healthcare1468Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: legal and government1457Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: business and finance1414Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 15 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 Instruct 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Instruct 2507Leader
Design Arena: websites11871058DeepSeek V3.1 Terminus
Design Arena: UI components1180963DeepSeek V3.1 Terminus
Design Arena: game dev1131951DeepSeek V3.1 Terminus
Design Arena: data viz11681070DeepSeek V3.1 Terminus
Design Arena: 3D1141994DeepSeek V3.1 Terminus
Design Arena: all code categories11751038DeepSeek 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 index31
General benchmarks for DeepSeek V3.1 Terminus and Qwen3 235B A22B Instruct 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Instruct 2507Leader
IFBench57.0%51.2%DeepSeek V3.1 Terminus
Long context reasoning (AA-LCR)69.3%72.0%Qwen3 235B A22B Instruct 2507
DTBench81.3%78.4%DeepSeek V3.1 Terminus
LMCA28.6%23.5%DeepSeek V3.1 Terminus
LMArena Text1419Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: instruction following1404Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: creative writing1403Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: English1429Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: non-English1408Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: Russian1435Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: Polish1427Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: multi-turn1411Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: longer queries1422Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: writing and language1409Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: entertainment and media1391Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 33 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 Instruct 2507
BenchmarkDeepSeek V3.1 TerminusQwen3 235B A22B Instruct 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 Instruct 2507$0.0005Fits in one request

Qwen3 235B A22B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1 Terminus$0.018Fits in one request
Qwen3 235B A22B Instruct 2507$0.0096Fits in one request

Qwen3 235B A22B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1 Terminus$0.071Exceeds the context window
Qwen3 235B A22B Instruct 2507$0.037Fits in one request

Qwen3 235B A22B Instruct 2507 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 Instruct 2507
SpecificationDeepSeek V3.1 TerminusQwen3 235B A22B Instruct 2507
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedSeptember 22, 2025July 21, 2025
Context window164K262K
Input $/Mtok$0.3063$0.145
Output $/Mtok$1.0142$0.775
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 Instruct 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for work measured by SciCode or τ²-Bench Telecom, where it leads.

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

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; Qwen3 235B A22B Instruct 2507 costs $0.145 and $0.775. Cost per solved task is known for neither of them.

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

Qwen3 235B A22B Instruct 2507, with 262K tokens against 164K.

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

20 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 Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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