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DeepSeek V3.1 Terminus vs Qwen3 32B

DeepSeek V3.1 Terminus leads Qwen3 32B on the Artificial Analysis Intelligence Index, 14.8 to 7.3, and Qwen3 32B costs 2.5x less per output token ($0.40 vs $1.0142 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace Qwen3 32B
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
34
Qwen3 32BQwen
Coding
No data
Overall
40.8
Output $/M
$0.40
0
vs boards won of 34 shared

DeepSeek V3.1 Terminus or Qwen3 32B: which to pick

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

Pick DeepSeek V3.1 Terminus for a larger context window (164K against 131K tokens).

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 32BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
34
DeepSeek V3.1 Terminus only
11
Qwen3 32B only
11
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.

At a glance

Coding index
DeepSeek V3.1 Terminus not benchmarked, Qwen3 32B not benchmarked.
Widest category
General, 19.7 points apart on average over 14 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): DeepSeek V3.1 Terminus 69.3% against Qwen3 32B 0.0%, 69.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against Qwen3 32B $0.40 per million output tokens, 2.5x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, Qwen3 32B 131K.

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 32BTies
Coding50
Intelligence10
Agentic work10
Reasoning50
Math30
Knowledge50
General140
All shared boards340
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for DeepSeek V3.1 Terminus and Qwen3 32B
BenchmarkDeepSeek V3.1 TerminusQwen3 32BLeader
Aider polyglotNot measured40.0%Only Qwen3 32B measured
AA Coding Index43.5Not measuredOnly DeepSeek V3.1 Terminus measured
LiveCodeBench (Artificial Analysis run)79.8%54.6%DeepSeek V3.1 Terminus
SciCode38.0%36.0%DeepSeek V3.1 Terminus
Terminal-Bench Hard (Artificial Analysis run)31.8%3.0%DeepSeek V3.1 Terminus
ALE-Bench745.2Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: coding14251357DeepSeek V3.1 Terminus
LMArena Text: software and IT14261366DeepSeek V3.1 Terminus
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.1 Terminus and Qwen3 32B
BenchmarkDeepSeek V3.1 TerminusQwen3 32BLeader
AA Intelligence Index14.87.3DeepSeek V3.1 Terminus
Epoch Capabilities IndexNot measured138.4Only Qwen3 32B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V3.1 Terminus and Qwen3 32B
BenchmarkDeepSeek V3.1 TerminusQwen3 32BLeader
AA Agentic Index6.8Not measuredOnly DeepSeek V3.1 Terminus measured
τ²-Bench Telecom37.1%29.8%DeepSeek V3.1 Terminus
Berkeley Function Calling Leaderboard (BFCL)Not measured48.7%Only Qwen3 32B measured
BrowseComp-PlusNot measured10.7%Only Qwen3 32B measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for DeepSeek V3.1 Terminus and Qwen3 32B
BenchmarkDeepSeek V3.1 TerminusQwen3 32BLeader
GPQA Diamond (Artificial Analysis run)79.2%66.8%DeepSeek V3.1 Terminus
Humanity's Last Exam (Artificial Analysis run)16.4%7.4%DeepSeek V3.1 Terminus
GPQA Diamond (Epoch AI run)Not measured65.7%Only Qwen3 32B measured
LMArena Text: hard prompts14261334DeepSeek V3.1 Terminus
LMArena Text: expertNot measured1362Only Qwen3 32B measured
LMArena Text: hard prompts in English14321350DeepSeek V3.1 Terminus
Kagi LLM Benchmark57.4%48.7%DeepSeek V3.1 Terminus
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for DeepSeek V3.1 Terminus and Qwen3 32B
BenchmarkDeepSeek V3.1 TerminusQwen3 32BLeader
AA Math Index89.773.0DeepSeek V3.1 Terminus
AIME 2025 (Artificial Analysis run)89.7%73.0%DeepSeek V3.1 Terminus
OTIS Mock AIMENot measured66.9%Only Qwen3 32B measured
LMArena Text: math14021399DeepSeek V3.1 Terminus
LMArena Text: mathematical workNot measured1420Only Qwen3 32B measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.1 Terminus and Qwen3 32B
BenchmarkDeepSeek V3.1 TerminusQwen3 32BLeader
MMLU Pro (Artificial Analysis run)85.1%79.8%DeepSeek V3.1 Terminus
LMArena Text: science14511372DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681368DeepSeek V3.1 Terminus
LMArena Text: legal and government14571324DeepSeek V3.1 Terminus
LMArena Text: business and finance14141318DeepSeek V3.1 Terminus
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V3.1 Terminus and Qwen3 32B
BenchmarkDeepSeek V3.1 TerminusQwen3 32BLeader
Design Arena: websites1187Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: UI components1182Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: game dev1131Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: data viz1168Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: 3D1141Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: all code categories1175Not measuredOnly DeepSeek V3.1 Terminus measured
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 index140
General benchmarks for DeepSeek V3.1 Terminus and Qwen3 32B
BenchmarkDeepSeek V3.1 TerminusQwen3 32BLeader
IFBench57.0%36.3%DeepSeek V3.1 Terminus
Long context reasoning (AA-LCR)69.3%0.0%DeepSeek V3.1 Terminus
DTBench81.3%67.5%DeepSeek V3.1 Terminus
LMCA28.6%17.3%DeepSeek V3.1 Terminus
Fiction.LiveBenchNot measured74.2%Only Qwen3 32B measured
LMArena Text14191340DeepSeek V3.1 Terminus
LMArena Text: instruction following14041305DeepSeek V3.1 Terminus
LMArena Text: creative writing14031297DeepSeek V3.1 Terminus
LMArena Text: English14291359DeepSeek V3.1 Terminus
LMArena Text: non-English14081317DeepSeek V3.1 Terminus
LMArena Text: ChineseNot measured1357Only Qwen3 32B measured
LMArena Text: GermanNot measured1341Only Qwen3 32B measured
LMArena Text: Russian14351311DeepSeek V3.1 Terminus
LMArena Text: Polish1427Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: multi-turn14111331DeepSeek V3.1 Terminus
LMArena Text: longer queries14221327DeepSeek V3.1 Terminus
LMArena Text: writing and language14091298DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911279DeepSeek V3.1 Terminus
Neither model has a result on the other 28 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 32B
BenchmarkDeepSeek V3.1 TerminusQwen3 32BLeader
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 32B$0.0003Fits in one request

Qwen3 32B costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1 Terminus$0.018Fits in one request
Qwen3 32B$0.0082Fits in one request

Qwen3 32B costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1 Terminus$0.071Exceeds the context window
Qwen3 32B$0.032Exceeds the context window

Qwen3 32B 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 32B
SpecificationDeepSeek V3.1 TerminusQwen3 32B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedSeptember 22, 2025April 28, 2025
Context window164K131K
Input $/Mtok$0.3063$0.14
Output $/Mtok$1.0142$0.40
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 32B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for a larger context window (164K against 131K tokens).

Which is cheaper, DeepSeek V3.1 Terminus or Qwen3 32B?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; Qwen3 32B costs $0.14 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3.1 Terminus or Qwen3 32B?

DeepSeek V3.1 Terminus, with 164K tokens against 131K.

How many benchmarks is the DeepSeek V3.1 Terminus vs Qwen3 32B comparison based on?

34 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 32B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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