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Alicloud Kimi K2 Instruct vs Qwen3.8 Max Preview

Compare Alicloud Kimi K2 Instruct from Moonshot AI and Qwen3.8 Max Preview from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

Moonshot AIAlicloud Kimi K2 InstructQwenQwen3.8 Max Preview
Moonshot AI logo
Alicloud Kimi K2 Instruct
Moonshot AI · → text

Kimi-K2 is a MoE architecture foundational model with extremely powerful coding and agent capabilities, featuring a total of 1 trillion parameters and activating 32 billion parameters. In benchmark performance tests across major categories such as general knowledge reasoning, programming, mathematics, and agents, the K2 model outperforms other mainstream open-source models. The Kimi-K2 model supports a context length of 128k tokens. It does not support visual capabilities.

Input$0.548 /M
Output$2.192 /M
Qwen logo
Qwen3.8 Max Preview
Qwen · text, image, video → text

Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.

Input$0.338 /M
Output$1.014 /M
Cache read$0.0338 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Alicloud Kimi K2 Instruct
Qwen3.8 Max Preview
Input /M
$0.548
$0.338
Output /M
$2.192
$1.014
Cache read /M
-
$0.0338
Context length
0
1,000,000
Max output
0
131,072
Time to First Token
1.2 s
2.4 s
Throughput
0.8 tok/s
48.1 tok/s
Modalities
textimagevideo
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
July 19, 2026

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

alicloud-kimi-k2-instructqwen3.8-max-preview

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

alicloud-kimi-k2-instructqwen3.8-max-preview

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
alicloud-kimi-k2-instructqwen3.8-max-preview
1360142014801540
Overall
14181480
Coding
14671520
Math
14161497
Hard prompts
14371502
Instruction following
13901477
Multi-turn
14041493
Creative writing
13821466
Longer query
14031492
Chinese
14541536
English
14231488

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

Qwen3.8 Max Preview
$35.49 /mo
Alicloud Kimi K2 Instruct
$65.76 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Alicloud Kimi K2 Instruct, Qwen3.8 Max Preview?

Qwen3.8 Max Preview: $1.014/M output tokens; Alicloud Kimi K2 Instruct: $2.192/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Qwen3.8 Max Preview: 1520; Alicloud Kimi K2 Instruct: 1467 (LMArena coding leaderboard).

Which responds faster?

Alicloud Kimi K2 Instruct: 1.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

Which one generates tokens faster?

Qwen3.8 Max Preview at 48.1 tok/s and Alicloud Kimi K2 Instruct at 0.8 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

Can I call Alicloud Kimi K2 Instruct and Qwen3.8 Max Preview with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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