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Kimi K2.6 vs Qwen3.8 Max (0902)

Kimi K2.6

Moonshot AI

76#114
vs
Qwen3.8 Max (0902)

Alibaba

76#115
Signal-by-Signal Comparison
SignalKimi K2.6DeltaQwen3.8 Max (0902)
Capabilities
83
--
83
Benchmarks
75
+75
0
Pricing
96
+2
94
Context window size
86
-9
95
Recency
100
--
100
Output Capacity
86
+4
82
Overall Result
3 wins
of 6
1 wins
Kimi K2.6 wins 3 of 6 signals

Score History

Score History (20 data points)
Kimi K2.6Qwen3.8 Max (0902)
Kimi K2.6

75.8

current score

Leader

Kimi K2.6

right now

Qwen3.8 Max (0902)

75.5

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Kimi K2.6

Moonshot AI

Best Value
Per request$0.002950
Daily$9.83
Monthly$295.00
Annual$3540.00

Qwen3.8 Max (0902)

Alibaba

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

Kimi K2.6 saves you $205.00/month

That's $2460.00/year compared to Qwen3.8 Max (0902) at your current usage level of 100K calls/month.

41% cheaper
Choose Kimi K2.6 for cost optimization

Kimi K2.6 pricing:
Input:$0.95/M tokens
Output:$4.00/M tokens
Qwen3.8 Max (0902) pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Winner
Kimi K2.6

Moonshot AI

76

Composite Score

Qwen3.8 Max (0902)

Alibaba

76

Composite Score

Signal-by-Signal Comparison
MetricKimi K2.6Qwen3.8 Max (0902)Winner
Overall Score
76
76
Kimi K2.6
Rank#114#115
Kimi K2.6
Quality Rank#114#115
Kimi K2.6
Adoption Rank#114#115
Kimi K2.6
Parameters------
Context Window262K1000K
Qwen3.8 Max (0902)
Pricing$0.95/$4.00/M$2.00/$6.00/M--
Signal Scores
Capabilities
83
83
Kimi K2.6
Benchmarks
75
--
Kimi K2.6
Pricing
96
94
Kimi K2.6
Context window size
86
95
Qwen3.8 Max (0902)
Recency
100
100
Kimi K2.6
Output Capacity
86
82
Kimi K2.6
Benchmark Head-to-Head(1 benchmarks)
Kimi K2.6: 0Qwen3.8 Max: 1
Kimi K2.6
Qwen3.8 Max
Normalized 0-100%
Arena Elo
14611480
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Kimi K2.6Strong Performer

Scores 76/100 (rank #114), placing it in the top 61% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.8 Max (0902)Strong Performer

Scores 76/100 (rank #115), placing it in the top 61% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Kimi K2.6 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Qwen3.8 Max (0902) when you need:

  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Kimi K2.6Best Value
Input cost$0.95/M tokens
Output cost$4.00/M tokens
Cost per quality point$0.065
Est. monthly (1M tokens/day)$74.25
Qwen3.8 Max (0902)
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.106
Est. monthly (1M tokens/day)$120.00

Kimi K2.6 offers 38% better value per quality point. At 1M tokens/day, you'd spend $74.25/month with Kimi K2.6 vs $120.00/month with Qwen3.8 Max (0902) - a $45.75 monthly difference.

Latency & Speed
Kimi K2.6Faster
Speed score0/100
Qwen3.8 Max (0902)
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Kimi K2.6

Customer support chatbot

Suitable for user-facing chat with competitive response times. Kimi K2.6 also offers lower per-token costs for high-volume support

Kimi K2.6

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.8 Max (0902)

Batch data extraction

Lower output pricing ($4.00/M) reduces costs when processing thousands of records daily

Kimi K2.6

Creative writing & content

Higher overall composite score (76/100) correlates with better nuance, coherence, and style in long-form content

Kimi K2.6

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Kimi K2.6
Which Should You Choose?
Our recommendation:
Kimi K2.6

Kimi K2.6 and Qwen3.8 Max (0902) are extremely close in overall performance (only 0.29999999999999716 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Kimi K2.6
Recommended

by Moonshot AI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 38% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityKimi K2.6Qwen3.8 Max (0902)
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Kimi K2.6

Moonshot AI

Best Value
$6.51
estimated monthly cost

Qwen3.8 Max (0902)

Alibaba

$10.80
estimated monthly cost

Kimi K2.6 saves you $4.29/month

That's 40% cheaper than Qwen3.8 Max (0902) at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterKimi K2.6Qwen3.8 Max (0902)
Context Window262K1M
Max Output Tokens235,929131,072
Open SourceYesNo
CreatedApr 20, 2026Sep 3, 2026
Last updated: 4m ago

相关对比

Kimi K2.6 vs Qwen3.8 Max (0902) (2026) | LM Market Cap