Kimi K3 vs Qwen3.8 2.4T A95B
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- ▲944 K
- Input, $ per 1M tokens
- $3.00
- Output, $ per 1M tokens
- $15.00
- Cache read, $ per 1M
- $0.300
- Batch (input / output)
- $2.28 / $11.40
- Tool calling
- Yes
- Released
- 07/16/2026
- Knowledge cutoff
- —
- API id
- moonshotai/kimi-k3
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- 131 K
- Input, $ per 1M tokens
- ▲$2.00
- Output, $ per 1M tokens
- ▲$6.00
- Cache read, $ per 1M
- $0.250
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲08/12/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-2.4t-a95b
Which is the better API choice: Kimi K3 vs Qwen3.8 2.4T A95B?
- Qwen3.8 2.4T A95B: cheapest input (33% less than Kimi K3)
- Qwen3.8 2.4T A95B: cheapest output
- Qwen3.8 2.4T A95B: the newest (08/12/2026)
Qwen3.8 2.4T A95B costs 33% less on input and 60% less on output than Kimi K3 ($2.00 / $6.00 versus $3.00 / $15.00 per million tokens). All accept 1 M tokens of context. On capabilities, Kimi K3 accepts images. Kimi K3 offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3.8 2.4T A95B you save $51.00 a month versus Kimi K3 (49% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Qwen3.8 2.4T A95B Qwen$0.152
- 2Claude Sonnet 5.5 Anthropic$0.152
- 3Claude Sonnet 5 Anthropic$0.152
- 4Kimi K3 Moonshot$0.228
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Kimi K3 vs Qwen3.8 2.4T A95B?
Qwen3.8 2.4T A95B costs 33% less on input and 60% less on output than Kimi K3 ($2.00 / $6.00 versus $3.00 / $15.00 per million tokens). All accept 1 M tokens of context. On capabilities, Kimi K3 accepts images. Kimi K3 offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Kimi K3 and Qwen3.8 2.4T A95B?
Qwen3.8 2.4T A95B is cheaper: $2.00 per million input tokens and $6.00 per million output tokens, versus $3.00 / $15.00 for Kimi K3.
Which has more context: Kimi K3 and Qwen3.8 2.4T A95B?
Kimi K3 and Qwen3.8 2.4T A95B accept the same context: 1 M tokens.
Which is newer: Kimi K3 and Qwen3.8 2.4T A95B?
Qwen3.8 2.4T A95B was released on 08/12/2026; Kimi K3 on 07/16/2026.
What would 10,000 requests a month cost with Kimi K3 and Qwen3.8 2.4T A95B?
With 1,500 input and 400 output tokens per request: Kimi K3: $105.00; Qwen3.8 2.4T A95B: $54.00 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.