Compare / Qwen3.8-Max (0902) vs Kimi K3

Qwen3.8-Max (0902) vs Kimi K3

Which is cheaper, which is more capable, and which does better at each kind of work, from 81 results on 8 sources that measured both models.

AlibabaQwen3.8-Max (0902) Released 3 Aug 2026 · $2.00 in · $6.00 out
Moonshot AIKimi K3 Released 16 Jul 2026 · $3.00 in · $15.00 out
Qwen3.8-Max (0902) wins 2718 too close to callKimi K3 wins 36

Of the 81 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.

Results as of 9 October 2026 (catalogue release 2026-10-09-dd620e778ac5). See also Alibaba vs Moonshot AI, every model from both labs.

Qwen3.8-Max (0902) or Kimi K3? The short answer

They score about the same, so pick Qwen3.8-Max (0902): it costs 45% less per product listing on CatalogBench.

  • Spring Prompt overall: Qwen3.8-Max (0902) 48, Kimi K3 50 (out of 100; how the score works).
  • Qwen3.8-Max (0902) is cheaper to run: $0.026 against $0.047 per product listing on CatalogBench (45% less).
  • Qwen3.8-Max (0902) scores higher on the Artificial Analysis Intelligence Index: 45.4 against 43.6.
  • Qwen3.8-Max (0902) is newer: released 3 Aug 2026, against 16 Jul 2026 for Kimi K3.
  • On our own benchmarks, on the results both models have: Kimi K3 does better for product listings and marketing planning.
  • On third-party benchmarks, on the results both models have: Qwen3.8-Max (0902) does better for agents and tool use and professional work; Kimi K3 for reasoning and knowledge and sticking to the facts.

Head to head

48
Spring Prompt overall
50
45.4
Intelligence Index
43.6
$3.00
Price per million tokens, blendedlower is better
$6.00
37
Output speed, tokens a second
45
1,000,000
Context window, tokens
1,048,576

Every fact side by side

Qwen3.8-Max (0902)Kimi K3
Price per million tokens$2.00 in · $6.00 out$3.00 in · $15.00 out
Blended (3 in : 1 out)$3.00$6.00
Cheapest host, blended–$3.70 (Morph, FP8)
Cost per product listing (CatalogBench)$0.026$0.047
Cached input, per million–$0.30 cached input
Intelligence Index45.443.6
Spring Prompt overall4850
Output speed, tokens a second3745
Context window1,000,000 tokens1,048,576 tokens
Released3 Aug 2026 (newer)16 Jul 2026
WeightsClosedOpen
Developer based inChinaChina

Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.

Which is better for what

Each model's rank among the models on sale today, for each kind of work, from our own benchmarks and licensed sources. Further right is better; the better rank is in green.

Product listingsTurning a sparse product feed and photos into listings that can go live 17 of 20 13 of 20
Decks from an analysisTurning a finished analysis into a deck you could present as it is 11 of 19 8 of 19
Marketing planningPlanning a year of ad spend without overspending 14 of 19 8 of 19
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 7 of 164 34 of 164
Professional workReal tasks from banking, consulting and law, business documents and freelance projects 18 of 51 24 of 51
Reasoning and knowledgeHard questions across science, maths and general knowledge 17 of 198 15 of 198
WritingWhat people prefer in blind comparisons, and judged writing quality 16 of 188 11 of 188
Sticking to the factsSummarising without inventing things, and factual answers 38 of 152 28 of 152
Speed under pressureGood decisions against a real clock (fast chess) 24 of 24 20 of 23

From our research

Every shared result

Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. Under each measure, every model that benchmark has measured is a grey tick, best to the right, so you can see where the two sit in the field. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.

MeasureQwen3.8-Max (0902)Kimi K3
CatalogBench measured by Spring Prompt · 3 results
Cost per productUS dollars, lower is better 15 · 19 of 20 measured $0.0256 $0.0469
Reliably publish-ready% of products, higher is better 13 · 9 of 20 measured 28.6% 41.1%
Reliably publish-ready · sales brief% of products, higher is better 18 · 16 of 20 measured 0.0% 1.8%
DeckBench measured by Spring Prompt · 3 results
Cost per deckUS dollars, lower is better 11 · 17 of 19 measured $0.15 $0.45
Deck ratingrating, higher is betterThe rating weighs each win by how strong the other deck was; the win rate counts wins against whichever decks a model happened to meet, so the two can disagree. 11 · 8 of 19 measured 1,100 1,229
Accurate decks% of tasks, higher is better 8 · 8 of 19 measured 50.0% 50.0%
ROASBench measured by Spring Prompt · 3 results
Overall scorescore out of 100, higher is better 14 · 8 of 19 measured 25.4 44.1
Audience scorescore out of 100, higher is better 17 · 8 of 19 measured 39.7 65.1
Business scorescore out of 100, higher is better 14 · 8 of 19 measured 15.6 40.2
Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results
Overall · TextArena rating, higher is better 20 · 13 of 387 measured 1,482 1,488max reasoning
Overall · Text factualityArena rating, higher is better 22 · 20 of 163 measured 1,472 1,472max reasoning
Business, management and finance · TextArena rating, higher is better 16 · 12 of 380 measured 1,484 1,487max reasoning
Artificial Analysis reported by Artificial Analysis · 3 results
Artificial Analysis Intelligence Indexindex score, higher is better 14 · 17 of 243 measured 45.4 43.6max reasoning
GPQA Diamond% of questions, higher is better 15 · 10 of 231 measured 92.8% 93.5%max reasoning
Humanity's Last Exam% of questions, higher is better 24 · 17 of 242 measured 43.1% 46.9%max reasoning
GDP.pdf reported by GDP.pdf · 1 result
Professional document tasks% of rubric, higher is better 13 · 17 of 32 measured 23.2%xhigh reasoning 19.0%max reasoning
SimpleQA Verified (Epoch AI) reported by SimpleQA Verified (Epoch AI) · 1 result
Correct answers% of questions, higher is better 30 · 23 of 76 measured 47.3%xhigh reasoning 50.6%max reasoning
τ²-bench reported by τ²-bench · 2 results
Consistency (pass^4) · tau2 v1.0.1, banking knowledge, alltools retrieval% of tasks, higher is better 1 · 12 of 21 measured 35.1%xhigh reasoning, tau2 17.5%max reasoning, tau2
Task success (pass^1) · tau2 v1.0.1, banking knowledge, alltools retrieval% of tasks, higher is better 1 · 11 of 21 measured 55.2%xhigh reasoning, tau2 37.1%max reasoning, tau2
Show all 81 results (62 more)
MeasureQwen3.8-Max (0902)Kimi K3
CatalogBench measured by Spring Prompt · 27 results
Channel compliance% of products, higher is better 1 · 14 of 20 measured 100.0% 99.4%
Channel rules broken% of products, lower is better 11 · 11 of 20 measured 0.6% 0.6%
Channel rules broken · sales brief% of products, lower is better 19 · 9 of 20 measured 3.0% 0.6%
Claims to check% of products, lower is better 1 · 1 of 20 measured 0.0% 0.0%
Claims to check · sales brief% of products, lower is better 13 · 1 of 20 measured 1.3% 0.0%
Conflicts caught% of conflicts, higher is better 1 · 18 of 20 measured 100.0% 97.0%
Content quality% of checks, higher is better 18 · 14 of 20 measured 94.2% 96.4%
Content quality · sales brief% of checks, higher is better 19 · 12 of 20 measured 93.6% 96.4%
Decision accuracy% of decisions, higher is better 16 · 11 of 20 measured 93.3% 96.1%
Failed outputs% of products, lower is better 19 · 1 of 20 measured 3.6% 0.0%
Failed outputs · sales brief% of products, lower is better 19 · 17 of 20 measured 3.6% 0.6%
Field accuracy% of missing fields, higher is better 19 · 3 of 20 measured 90.3% 94.4%
Invented values% of filled values, lower is better 15 · 19 of 20 measured 2.7% 5.7%
Missing UK information% of products, lower is better 1 · 1 of 20 measured 0.0% 0.0%
Missing UK information · sales brief% of products, lower is better 1 · 1 of 20 measured 0.0% 0.0%
Not findable% of products, lower is better 4 · 6 of 20 measured 3.6% 4.2%
Not findable · sales brief% of products, lower is better 2 · 6 of 20 measured 1.8% 3.0%
Publish-ready listings% of products, higher is better 12 · 9 of 20 measured 50.0% 61.3%
Publish-ready listings · sales brief% of products, higher is better 18 · 14 of 20 measured 7.7% 14.9%
Unsupported claims% of products, lower is better 10 · 8 of 20 measured 26.8% 16.7%
Unsupported claimsclaims per product, lower is better 10 · 13 of 20 measured 0.69 0.98
Unsupported claims · sales briefclaims per product, lower is better 19 · 16 of 20 measured 4.52 3.64
Unsupported claims · sales brief% of products, lower is better 19 · 16 of 20 measured 84.5% 81.6%
Wrong attributes% of products, lower is better 16 · 17 of 20 measured 21.4% 24.4%
Wrong attributes · sales brief% of products, lower is better 13 · 16 of 20 measured 19.6% 20.8%
Wrong category or variant% of products, lower is better 4 · 12 of 20 measured 1.8% 3.0%
Wrong category or variant · sales brief% of products, lower is better 10 · 17 of 20 measured 2.4% 4.2%
DeckBench measured by Spring Prompt · 13 results
Caveat dropped% of tasks, lower is better 10 · 1 of 19 measured 16.7% 0.0%
Clean layout% of tasks, higher is better 6 · 13 of 19 measured 66.7% 33.3%
Design quality% of the maximum, higher is better 9 · 3 of 19 measured 67.0% 81.4%
Draft figure quoted% of tasks, lower is better 11 · 1 of 19 measured 33.3% 0.0%
Findings missing% of tasks, lower is better 1 · 14 of 19 measured 0.0% 16.7%
Head-to-head win rate% of comparisons, higher is betterThe rating weighs each win by how strong the other deck was; the win rate counts wins against whichever decks a model happened to meet, so the two can disagree. 10 · 7 of 19 measured 61.5% 72.0%
Layout defects% of tasks, lower is better 6 · 13 of 19 measured 33.3% 66.7%
Misleading metric used% of tasks, lower is better 1 · 1 of 19 measured 0.0% 0.0%
Presentable decks% of tasks, higher is better 5 · 11 of 19 measured 33.3% 0.0%
Recommendation late or wrong% of tasks, lower is better 1 · 10 of 19 measured 0.0% 33.3%
Slides needing work% of tasks, lower is better 10 · 2 of 19 measured 50.0% 16.7%
Unsupported claims% of tasks, lower is better 10 · 13 of 19 measured 16.7% 33.3%
Unsupported numbers% of tasks, lower is better 1 · 1 of 19 measured 0.0% 0.0%
ROASBench measured by Spring Prompt · 6 results
Consistency scorescore out of 100, higher is better 13 · 10 of 19 measured 19.3 28.3
Contribution profitsimulated US dollars, higher is better 14 · 5 of 19 measured $99,775 $654,270
Cost of a runUS dollars, lower is better 15 · 16 of 19 measured $0.73 $1.01
Months over budgetmonths of 12, lower is better 17 · 1 of 19 measured 2 0
Planning scorescore out of 100, higher is better 9 · 12 of 19 measured 54.8 54.7
Return on ad spendprofit per $1 spent, higher is better 14 · 8 of 19 measured $0.09 $0.50
Arena (formerly LMArena) reported by Arena (formerly LMArena) · 8 results
Confirmed task success · AgentIPS effect estimate, higher is better 20 · 9 of 48 measured 0.05arena agent 0.08max reasoning, arena agent
Creative writing · TextArena rating, higher is better 17 · 20 of 385 measured 1,468 1,460max reasoning
Expert prompts · TextArena rating, higher is better 20 · 10 of 338 measured 1,513 1,533max reasoning
Instruction following · TextArena rating, higher is better 25 · 11 of 387 measured 1,474 1,488max reasoning
Praise over complaint · AgentIPS effect estimate, higher is better 20 · 16 of 48 measured 0.03arena agent 0.07max reasoning, arena agent
Steerability · AgentIPS effect estimate, higher is better 18 · 23 of 48 measured 0.03arena agent 0.01max reasoning, arena agent
Tool grounding · AgentIPS effect estimate, higher is better 43 · 2 of 48 measured -0.01arena agent 0.00max reasoning, arena agent
Writing, literature and language · TextArena rating, higher is better 18 · 13 of 386 measured 1,472 1,476max reasoning
Artificial Analysis reported by Artificial Analysis · 8 results
Terminal-Bench 2.1% of tasks, higher is better 5 · 12 of 130 measured 88.8% 85.0%max reasoning
Terminal-Bench 4.0% of tasks, higher is better 12 · 32 of 112 measured 38.9% 12.6%low reasoning
τ-bench banking% of tasks, higher is better 7 · 10 of 121 measured 47.8% 46.0%max reasoning
Artificial Analysis Coding Indexindex score, higher is better 10 · 10 of 131 measured 76.2 76.2max reasoning
Long-context reasoning (AA-LCR)% of questions, higher is better 35 · 1 of 233 measured 80.3% 88.7%max reasoning
Output speedtokens per second, higher is better 71 · 66 of 74 measured 37.0 45.0max reasoning
SciCode% of problems, higher is better 36 · 9 of 113 measured 52.1% 59.5%max reasoning
Time to first answer tokenseconds, lower is better 74 · 71 of 74 measured 55.8 47.3max reasoning

Quick answers

Is Qwen3.8-Max (0902) better than Kimi K3?

They score about the same, so pick Qwen3.8-Max (0902): it costs 45% less per product listing on CatalogBench.

Which is cheaper, Qwen3.8-Max (0902) or Kimi K3?

Qwen3.8-Max (0902) is cheaper to run: $0.026 against $0.047 per product listing on CatalogBench (45% less).

Which is faster, Qwen3.8-Max (0902) or Kimi K3?

Kimi K3 writes about 45 tokens a second on its usual API, against 37 for Qwen3.8-Max (0902) (Artificial Analysis).

Which is better for product listings, Qwen3.8-Max (0902) or Kimi K3?

Kimi K3 ranks 13 of 20 models on sale for turning a sparse product feed and photos into listings that can go live, against 17 for Qwen3.8-Max (0902).

Which is better for decks from an analysis, Qwen3.8-Max (0902) or Kimi K3?

Kimi K3 ranks 8 of 19 models on sale for turning a finished analysis into a deck you could present as it is, against 11 for Qwen3.8-Max (0902).

Which is better for marketing planning, Qwen3.8-Max (0902) or Kimi K3?

Kimi K3 ranks 8 of 19 models on sale for planning a year of ad spend without overspending, against 14 for Qwen3.8-Max (0902).

Which is better for agents and tool use, Qwen3.8-Max (0902) or Kimi K3?

Qwen3.8-Max (0902) ranks 7 of 164 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 34 for Kimi K3.

Which has the bigger context window, Qwen3.8-Max (0902) or Kimi K3?

Kimi K3: 1,048,576 tokens, against 1,000,000 for Qwen3.8-Max (0902).

Run Qwen3.8-Max (0902) and Kimi K3 on your own prompt

Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.