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Kimi K2 0905 vs Qwen3.5-9B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Kimi K2 0905 and Qwen3.5-9B.

Moonshot AI

Kimi K2 0905

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...

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Alibaba

Qwen3.5-9B

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

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Technical Specifications

SpecificationKimi K2 0905Qwen3.5-9B
ProviderMoonshot AIAlibaba
Context Window262,144 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-09-042026-03-10

API Pricing Comparison

Input Price per Million Tokens

Kimi K2 0905

$0.60

Qwen3.5-9B

$0.10

Output Price per Million Tokens

Kimi K2 0905

$2.50

Qwen3.5-9B

$0.15

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Kimi K2 0905 Quirks & Gotchas

No developer gotchas reported.

Qwen3.5-9B Quirks & Gotchas

No developer gotchas reported.