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Home/Kimi K3 vs Qwen 3.8 Max
Winner: Kimi K3Moonshot vs Alibaba

Kimi K3 vs Qwen 3.8 Max

Kimi K3 wins on coding (96 vs 93). Qwen 3.8 Max wins on price ($2 vs $3/1M input). For most workflows, Kimi K3 is the stronger default — closest chinese challenger to the frontier — #4 overall on intelligence.

Last verified Aug 6, 2026/Model data modified Aug 6, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
MoonshotPremium
Input cost
$3.00/1M
Context
1M tokens
Speed
Deliberate

Clear recommendation block

The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.

Best overall model

Kimi K3

View
Why this recommendation

Kimi K3 is the safest overall answer here when you want the strongest default instead of the lowest list price.

MoonshotPremium
Best for
Frontier-level reasoning and agentic coding
Price
$3.00/1M
Context
1M tokens
Best budget model

Meta: Llama 3.1 8B Instruct

View
Why this recommendation

Meta: Llama 3.1 8B Instruct is the lower-cost option to start with when you still need useful output at scale.

MetaBudget
Best for
High-throughput applications where cost and speed matter more than frontier-level quality, such as chatbots, content classification, and text summarization.
Price
$0.05/1M
Context
16k tokens
Best for speed

Qwen 3.8 Max

View
Why this recommendation

Qwen 3.8 Max is the better pick when response speed matters more than maximum reasoning depth.

AlibabaBalanced
Best for
Multimodal and vision-heavy workloads at scale
Price
$2.00/1M
Context
1M tokens

Why this page recommends it

Kimi K3 leads on coding with a score of 96 vs 93 for Qwen 3.8 Max.

Qwen 3.8 Max is cheaper at $2/1M input tokens vs $3/1M for Kimi K3.

Kimi K3 is the stronger default for reasoning tasks.

Decision notes

Choose Kimi K3 for reasoning and coding — frontier-level reasoning and agentic coding.

Choose Qwen 3.8 Max when multimodal and vision-heavy workloads at scale.

Qwen 3.8 Max is the more cost-efficient option at $2/1M — worth considering if token volume is a concern.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.

#1Kimi K388 pts
#2Qwen 3.8 Max87 pts
Quality first

Kimi K3

Moonshot / Premium / Aug 6, 2026

88

Closest Chinese challenger to the frontier — #4 overall on intelligence.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$3.00/1M
$15.00/1M out
Speed
Deliberate
2/100 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You need fast responses or predictable output costs — always-on thinking burns tokens.

Recommended comparisons

The fastest way to see where the recommendation shifts when your priority changes.

MoonshotPremiumWinner: Kimi K3

Kimi K3

Closest Chinese challenger to the frontier — #4 overall on intelligence.

Best use case
Frontier-level reasoning and agentic coding
Input
$3.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Open weightsReasoningFlagship
AlibabaBalancedOption 2

Qwen 3.8 Max

Best Chinese flagship — beats GPT-5.6 Sol on coding, #2 globally for vision.

Best use case
Multimodal and vision-heavy workloads at scale
Input
$2.00/1M
Pricing
Balanced
Speed
Balanced
Context
1M tokens
Open weightsMultimodalVision

Pros

AA Intelligence Index v4.1: 57.1 — #4 overall, behind only Claude Fable 5 and GPT-5.6 Sol, ahead of Claude Opus 4.8

FrontierSWE 81.2 and Terminal-Bench 2.0 88.3 — frontier-grade agentic coding numbers

Open weights (July 26, 2026) — at 2.8T parameters, the largest open-weight release in history

Cons

Most expensive Chinese-lab model ever ($3/$15) with always-on thinking driving high output-token burn and slow responses

2.8T size makes self-hosting impractical despite open weights; consumer signups were paused July 19 over GPU capacity

Explore related decisions

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Comparison
Qwen 3.8 Max vs GPT-5.6 SolQwen 3.8 Max vs GPT-5.6 Sol — see exactly which wins on SWE-bench coding, price per 1M tokens, context window, and speed, with a clear verdict for every use…Read guide
Moonshot
Kimi K3Closest Chinese challenger to the frontier — #4 overall on intelligence.Read guide
Alibaba
Qwen 3.8 MaxBest Chinese flagship — beats GPT-5.6 Sol on coding, #2 globally for vision.Read guide
Alternatives
Best Kimi K3 AlternativesLooking for a Kimi K3 alternative? Compare 5 rivals on real capability scores, price per 1M tokens, and context size — including cheaper and open-weight picks.Read guide
Alternatives
Best Qwen 3.8 Max AlternativesLooking for a Qwen 3.8 Max alternative? Compare 5 rivals on real capability scores, price per 1M tokens, and context size — including cheaper and open-weight…Read guide
Guide
Best AI for CodingClaude Opus 4.7 leads coding AI in 2026 with 64.3% on SWE-Bench Pro. Compare it to GPT-5.5, Claude Sonnet 4.6, and budget picks like DeepSeek V3 for your stack.Read guide

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FAQ

Is Kimi K3 better than Qwen 3.8 Max?

Kimi K3 wins on more categories — reasoning, coding, research. Qwen 3.8 Max is the better pick when multimodal and vision-heavy workloads at scale. The right choice depends on your specific use case.

Which is cheaper — Kimi K3 or Qwen 3.8 Max?

Qwen 3.8 Max is cheaper at $2/1M input and $6/1M output. Kimi K3 costs $3/1M input and $15/1M output.

Which has a larger context window — Kimi K3 or Qwen 3.8 Max?

Both Kimi K3 and Qwen 3.8 Max have the same 1M context window.

Is Kimi K3 or Qwen 3.8 Max better for coding?

Kimi K3 is better for coding with a score of 96 vs Qwen 3.8 Max's 93 (out of 100). Claude Fable 5 is the overall coding leader in this directory at 100/100.

Which is faster — Kimi K3 or Qwen 3.8 Max?

Qwen 3.8 Max is faster with a balanced speed rating (score: 3) vs Kimi K3's deliberate rating (score: 2).