AI model comparison
Qwen3.8 27B vs Kimi K3
Side by side comparison of Qwen3.8 27B and Kimi K3 on pricing, benchmark scores, context window, and more.
Qwen3.8 27B is an open-weight dense vision-language model from Qwen.
- Input / 1M
- $0.15
- Output / 1M
- $1.88
- Context
- 1M
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI.
- Input / 1M
- $0.19
- Output / 1M
- $15
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.8 27B
6.4x cheaper for a typical chat
Higher intelligence score
Qwen3.8 27B
20.1 vs 17.4 on Artificial Analysis
Larger context window
Kimi K3
1.05M vs 1M tokens
Newer release
Qwen3.8 27B
Released August 14, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.8 27B20.1Coding index
Qwen3.8 27B68.1Agentic index
Qwen3.8 27B45.8Pricing
Qwen3.8 27B vs Kimi K3 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.8 27B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.19 |
| Output tokensPer 1M tokens | $1.88 | $15 |
| Cached input (read)Per 1M tokens | $0.04 | $0.18 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3.8 27B$1.24Coding task
30K in, 4K out
Qwen3.8 27B$12$8.63 cachedLong document summary
150K in, 2K out
Qwen3.8 27B$26.25$9.38 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.8 27B | |
|---|---|---|
| Context window | 1M tokens | 1.05M tokens |
| Max output | 236K tokens | 944K tokens |
| Input types | Image, Text, Video | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, Medium, Low, None | Max, High, Low, None |
| Default reasoning effort | Extra high | Max |
| Release date | August 14, 2026 | July 16, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.8 27B | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.8 27BView full model details- Qwen3.8 27B vs DeepSeek V4.1 Flash 1017
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- Qwen3.8 27B vs MiMo-V2.5
- Kimi K3 vs MiniMax M3
- Kimi K3 vs DeepSeek V4 Pro 0813
- Kimi K3 vs Inkling
- Kimi K3 vs Gemini 3.5 Flash Lite
- Kimi K3 vs Claude Sonnet 5
- Kimi K3 vs Claude Opus 5
- Kimi K3 vs GPT-5.6 Sol
- Kimi K3 vs GPT-6 Sol
- Kimi K3 vs Claude Sonnet 4.5
- Kimi K3 vs Claude Sonnet 4.6
- Kimi K3 vs GPT-5.6 Terra
- Kimi K3 vs Claude Opus 4.8
- Kimi K3 vs Muse Wonder
Our take
Qwen3.8 27B is 6.4x cheaper for a typical chat. Qwen3.8 27B scores higher on the Artificial Analysis Intelligence Index (20.1 vs 17.4). Kimi K3 has the larger context window (1.05M vs 1M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3.8 27B or Kimi K3 cheaper?
Qwen3.8 27B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.8 27B costs $0.15 per 1M input tokens and $1.88 per 1M output tokens, while Kimi K3 costs $0.19 per 1M input tokens and $15 per 1M output tokens.
Which has a bigger context window, Qwen3.8 27B or Kimi K3?
Kimi K3 supports up to 1.05M tokens of context, compared with 1M for Qwen3.8 27B.
Is Qwen3.8 27B smarter than Kimi K3?
On the Artificial Analysis Intelligence Index, Qwen3.8 27B scores 20.1 and Kimi K3 scores 17.4, putting Qwen3.8 27B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.8 27B and Kimi K3 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.8 27B and Kimi K3 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.8 27B and Kimi K3 at the same time. Compare the answers side by side and keep the best one.