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Kimi K2 Instruct vs Qwen3.8 Max Preview

Compare 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 AIKimi K2 InstructQwenQwen3.8 Max Preview
+ Add model · 2/4
Moonshot AI logo
Kimi K2 Instruct
Moonshot AI · text → 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$0.54 /M
Output$2.16 /M
Details
Qwen logo
Qwen3.8 Max Preview
Qwen · text, image → 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$0.34 /M
Output$1.01 /M
Details

Pricing & Specifications

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

Kimi K2 Instruct
Qwen3.8 Max Preview
Input /M
$0.54
$0.34
Output /M
$2.16
$1.01
Cache read /M
$0.54
$0.03
Context length
0
983,616
Max output
0
131,072
Time to First Token
0.1 s
2.4 s
Throughput
40.0 tok/s
48.1 tok/s
Modalities
text
textimage
Supported Parameters
toolsfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
-

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.

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.

kimi-k2-instructqwen3.8-max-preview

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
kimi-k2-instructqwen3.8-max-preview
1360142014801540
Overall
14181481
Coding
14671520
Math
14161504
Hard prompts
14371506
Instruction following
13901478
Multi-turn
14041496
Creative writing
13821469
Longer query
14031497
Chinese
14541545
English
14231486

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
Kimi K2 Instruct
$64.80 /mo

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

FAQ

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

Qwen3.8 Max Preview: $1.01/M output tokens; Kimi K2 Instruct: $2.16/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

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

Which responds faster?

Kimi K2 Instruct: 0.1s 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 Kimi K2 Instruct at 40.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Kimi K2 Instruct accepts text input and supports tool calling, function calling and structured outputs; Qwen3.8 Max Preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call 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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