Model comparison - Similar price, same tier
Kimi K3 vs Qwen3.8-2.4T-A95B
Kimi K3 is from Moonshot AI and Qwen3.8-2.4T-A95B is from Alibaba Cloud (Qwen). On list price, Kimi K3 charges 1.5x Qwen3.8-2.4T-A95B's input price ($3 vs $2 per 1M tokens), and Kimi K3 charges 2.5x Qwen3.8-2.4T-A95B's output price ($15 vs $6 per 1M tokens). Kimi K3 has a 1,048,576-token context window and Qwen3.8-2.4T-A95B 1,000,000 tokens; max output is 1,048,576 and 131,072 tokens per response. Qwen3.8-2.4T-A95B was released on August 12, 2026; no primary source states a release date for Kimi K3. Both publish open weights.
Last verified from each provider's pricing page. All sources
Side-by-side specs
| Spec | Kimi K3 | Qwen3.8-2.4T-A95B |
|---|---|---|
| Provider | Moonshot AI | Alibaba Cloud (Qwen) |
| Input / 1M tokens | $3 | $2 |
| Output / 1M tokens | $15 | $6 |
| Cache read / 1M | $0.30 | $0.17 |
| Cache write / 1M | $3 | $2.50 |
| Context window | 1,048,576 | 1,000,000 |
| Max output | 1,048,576 | 131,072 |
| Release date | - | |
| Weights | Open | Open |
| License | Kimi K3 License (Hugging Face license tag: other) | Qwen3.8-Max license (Hugging Face license_name qwen3.8-max, license tag: other) |
| API model id | kimi-k3 | qwen3.8-2.4t-a95b |
| AI Gateway id | moonshotai/kimi-k3 | alibaba/qwen3.8-2.4t-a95b |
| Last verified |
Prices in USD per 1M tokens at each provider's standard first-party rate. A dash means the provider does not bill that item separately or no primary page states it.
What each costs in practice
The same three workloads every model page uses, worked from each model's standard list rates. Swap in your own token counts with the math on each model's page.
| Workload | Kimi K3 | Qwen3.8-2.4T-A95B |
|---|---|---|
| One agent session1M input tokens and 100K output tokens, no caching. | $4.50 | $2.60 |
| A chat app10,000 requests a day at 2K input and 500 output tokens each. | $135.00$4,050.00 per 30-day month | $70.00$2,100.00 per 30-day month |
| The same session at a 90% cache hit90% of the input is read from the prompt cache. The one-time cache write premium is not included. | $2.07 | $0.953 |
Show the math
Kimi K3
- One agent sessionInput: 1M x $3 = $3.00Output: 0.1M x $15 = $1.50
- A chat appInput: 20M x $3 = $60.00Output: 5M x $15 = $75.00
- The same session at a 90% cache hitCached input: 0.9M x $0.30 = $0.27Uncached input: 0.1M x $3 = $0.30Output: 0.1M x $15 = $1.50
Qwen3.8-2.4T-A95B
- One agent sessionInput: 1M x $2 = $2.00Output: 0.1M x $6 = $0.60
- A chat appInput: 20M x $2 = $40.00Output: 5M x $6 = $30.00
- The same session at a 90% cache hitCached input: 0.9M x $0.17 = $0.153Uncached input: 0.1M x $2 = $0.20Output: 0.1M x $6 = $0.60
Benchmarks under the same setting
No board in the benchmark directory lists both Kimi K3 and Qwen3.8-2.4T-A95B under the same setting, so there is no like-for-like score to show here.
Set them up in your tools
Step-by-step guides whose official docs list Kimi K3 or Qwen3.8-2.4T-A95B by model id.
Model pages
FAQ
How do Kimi K3 and Qwen3.8-2.4T-A95B compare on price?
On list price, Kimi K3 charges 1.5x Qwen3.8-2.4T-A95B's input price ($3 vs $2 per 1M tokens), and Kimi K3 charges 2.5x Qwen3.8-2.4T-A95B's output price ($15 vs $6 per 1M tokens). For one agent session of 1M input and 100K output tokens with no caching, that is $4.50 on Kimi K3 and $2.60 on Qwen3.8-2.4T-A95B. Prices are each provider's first-party list rates, verified October 17, 2026 and October 17, 2026.
What are the context windows of Kimi K3 and Qwen3.8-2.4T-A95B?
Kimi K3 has a 1,048,576-token context window and Qwen3.8-2.4T-A95B 1,000,000 tokens; max output is 1,048,576 and 131,072 tokens per response.
Are Kimi K3 and Qwen3.8-2.4T-A95B open weights?
Kimi K3's weights are published at huggingface.co under the Kimi K3 License (Hugging Face license tag: other). Qwen3.8-2.4T-A95B's weights are published at huggingface.co under the Qwen3.8-Max license (Hugging Face license_name qwen3.8-max, license tag: other).
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Sources
Kimi K3 verified from platform.kimi.ai; Qwen3.8-2.4T-A95B verified from alibabacloud.com. This page is as current as the older of the two: .
- https://platform.kimi.ai/docs/pricing/chat
- https://www.alibabacloud.com/help/en/model-studio/model-pricing
- https://platform.kimi.ai/docs/guide/kimi-k3-quickstart
- https://platform.kimi.ai/docs/models.md
- https://platform.kimi.ai/docs/pricing/batch.md
- https://platform.kimi.ai/docs/platform-changelog.md
- https://www.kimi.ai/blog/kimi-k3
- https://huggingface.co/moonshotai/Kimi-K3
- https://modelstudio.console.alibabacloud.com/ap-southeast-1/model/market/detail/qwen3.8-2.4t-a95b
- https://www.alibabacloud.com/help/en/model-studio/context-cache
- https://www.alibabacloud.com/help/en/model-studio/newly-released-models
- https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B
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