DeepSeek V3 vs Qwen3 Next 80B A3B Instruct
DeepSeek V3 and Qwen3 Next 80B A3B Instruct cost about the same per output token ($0.9594 vs $1.10 per million). Updated October 22, 2026; 1 benchmarks have a result for both.
DeepSeek V3 or Qwen3 Next 80B A3B Instruct: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick DeepSeek V3 for output tokens 1.1x cheaper ($0.9594 vs $1.10 per million) and work measured by Kagi LLM Benchmark, where it leads.
- Shared results
- 1
- DeepSeek V3 only
- 13
- Qwen3 Next 80B A3B Instruct only
- 40
- Like-for-like categories
- 1 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
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Qwen3 Next 80B A3B Instruct has a AA Intelligence Index result, 9.6.
Directional only
Web design
Design Arena: websites
No call
Only DeepSeek V3 has a Design Arena: websites result, 1120.
Directional only
Long documents
Listed context window
Qwen3 Next 80B A3B Instruct
Qwen3 Next 80B A3B Instruct takes 262K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Next 80B A3B Instruct
DeepSeek V3 $0.0008, Qwen3 Next 80B A3B Instruct $0.0006 per turn.
List prices
At a glance
- Coding index
- DeepSeek V3 not benchmarked, Qwen3 Next 80B A3B Instruct not benchmarked.
- Widest category
- Reasoning, 14.4 points apart on average over 1 shared benchmark.
- Widest single gap
- Kagi LLM Benchmark: DeepSeek V3 52.3% against Qwen3 Next 80B A3B Instruct 66.7%, 14.4 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 $0.9594 against Qwen3 Next 80B A3B Instruct $1.10 per million output tokens, 1.1x apart.
- Context window
- DeepSeek V3 takes 164K tokens, Qwen3 Next 80B A3B Instruct 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.
| Category | DeepSeek V3 | Bars | Qwen3 Next 80B A3B Instruct | Ties |
|---|---|---|---|---|
| Reasoning | 0 | 1 | ||
| All shared boards | 0 | 1 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards, none shared
| Benchmark | DeepSeek V3 | Qwen3 Next 80B A3B Instruct | Leader |
|---|---|---|---|
| Aider polyglot | 70.2% | Not measured | Only DeepSeek V3 measured |
| SWE-bench Lite | 30.7% | Not measured | Only DeepSeek V3 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 78.4% | Only Qwen3 Next 80B A3B Instruct measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 9.8% | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: coding | Not measured | 1440 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: software and IT | Not measured | 1447 | Only Qwen3 Next 80B A3B Instruct measured |
| Neither model has a result on the other 33 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | DeepSeek V3 | Qwen3 Next 80B A3B Instruct | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 9.6 | Only Qwen3 Next 80B A3B Instruct measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | DeepSeek V3 | Qwen3 Next 80B A3B Instruct | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 41.5% | Only Qwen3 Next 80B A3B Instruct measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 | Qwen3 Next 80B A3B Instruct | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 75.9% | Only Qwen3 Next 80B A3B Instruct measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 12.6% | Only Qwen3 Next 80B A3B Instruct measured |
| GPQA Diamond (Epoch AI run) | 71.2% | Not measured | Only DeepSeek V3 measured |
| LMArena Text: hard prompts | Not measured | 1428 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: expert | Not measured | 1417 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: hard prompts in English | Not measured | 1431 | Only Qwen3 Next 80B A3B Instruct measured |
| Kagi LLM Benchmark | 52.3% | 66.7% | Qwen3 Next 80B A3B Instruct |
| Neither model has a result on the other 15 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | DeepSeek V3 | Qwen3 Next 80B A3B Instruct | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 84.3 | Only Qwen3 Next 80B A3B Instruct measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 84.3% | Only Qwen3 Next 80B A3B Instruct measured |
| OTIS Mock AIME | 48.9% | Not measured | Only DeepSeek V3 measured |
| LMArena Text: math | Not measured | 1440 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: mathematical work | Not measured | 1434 | Only Qwen3 Next 80B A3B Instruct measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | DeepSeek V3 | Qwen3 Next 80B A3B Instruct | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 82.4% | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: science | Not measured | 1434 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: medicine and healthcare | Not measured | 1455 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: legal and government | Not measured | 1431 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: business and finance | Not measured | 1422 | Only Qwen3 Next 80B A3B Instruct measured |
| 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
| Benchmark | DeepSeek V3 | Qwen3 Next 80B A3B Instruct | Leader |
|---|---|---|---|
| Design Arena: websites | 1120 | Not measured | Only DeepSeek V3 measured |
| Design Arena: UI components | 1090 | Not measured | Only DeepSeek V3 measured |
| Design Arena: game dev | 1053 | Not measured | Only DeepSeek V3 measured |
| Design Arena: data viz | 1089 | Not measured | Only DeepSeek V3 measured |
| Design Arena: 3D | 1086 | Not measured | Only DeepSeek V3 measured |
| Design Arena: all code categories | 1108 | Not measured | Only DeepSeek V3 measured |
| Design Arena: SVG | 976 | Not measured | Only DeepSeek V3 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index22 boards, none shared
| Benchmark | DeepSeek V3 | Qwen3 Next 80B A3B Instruct | Leader |
|---|---|---|---|
| IFBench | Not measured | 60.7% | Only Qwen3 Next 80B A3B Instruct measured |
| Long context reasoning (AA-LCR) | Not measured | 63.7% | Only Qwen3 Next 80B A3B Instruct measured |
| DTBench | 62.7% | Not measured | Only DeepSeek V3 measured |
| LMCA | 15.2% | Not measured | Only DeepSeek V3 measured |
| Fiction.LiveBench | Not measured | 55.6% | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text | Not measured | 1417 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: instruction following | Not measured | 1388 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: creative writing | Not measured | 1333 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: English | Not measured | 1421 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: non-English | Not measured | 1407 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: Chinese | Not measured | 1460 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: German | Not measured | 1416 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: Japanese | Not measured | 1395 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: Korean | Not measured | 1363 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: French | Not measured | 1414 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: Spanish | Not measured | 1435 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: Russian | Not measured | 1404 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: Polish | Not measured | 1398 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: multi-turn | Not measured | 1416 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: longer queries | Not measured | 1402 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: writing and language | Not measured | 1355 | Only Qwen3 Next 80B A3B Instruct measured |
| LMArena Text: entertainment and media | Not measured | 1349 | Only Qwen3 Next 80B A3B Instruct measured |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 | Qwen3 Next 80B A3B Instruct | 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
Qwen3 Next 80B A3B Instruct costs less
Repository review
50K input + 3K output tokens
Qwen3 Next 80B A3B Instruct costs less
Agent loop
200K input + 10K output tokens
Qwen3 Next 80B A3B Instruct 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.
| Specification | DeepSeek V3 | Qwen3 Next 80B A3B Instruct |
|---|---|---|
| Maker | DeepSeek | Qwen |
| Weights | Open weights | Open weights |
| Released | December 26, 2024 | September 11, 2025 |
| Context window | 164K | 262K |
| Input $/Mtok | $0.2887 | $0.10 |
| Output $/Mtok | $0.9594 | $1.10 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 better than Qwen3 Next 80B A3B Instruct for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3 for output tokens 1.1x cheaper ($0.9594 vs $1.10 per million) and work measured by Kagi LLM Benchmark, where it leads.
Which is cheaper, DeepSeek V3 or Qwen3 Next 80B A3B Instruct?
DeepSeek V3 costs $0.2887 per million input tokens and $0.9594 per million output tokens; Qwen3 Next 80B A3B Instruct costs $0.10 and $1.10. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V3 or Qwen3 Next 80B A3B Instruct?
Qwen3 Next 80B A3B Instruct, with 262K tokens against 164K.
How many benchmarks is the DeepSeek V3 vs Qwen3 Next 80B A3B Instruct comparison based on?
1 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3's coding index rests on 0 independent benchmarks and Qwen3 Next 80B A3B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.