AI model comparison
Inkling vs Kimi K2.7 Code
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Thinking Machines
Inkling
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total.
- Input / 1M
- $1
- Output / 1M
- $4.05
- Context
- 524K
Moonshot AI
Kimi K2.7 Code
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts.
- Input / 1M
- $0.67
- Output / 1M
- $3.35
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Kimi K2.7 Code
1.3x cheaper for a typical chat
Higher intelligence score
Kimi K2.7 Code
25.8 vs 25 on Artificial Analysis
Larger context window
Inkling
524K vs 262K tokens
Newer release
Inkling
Released July 17, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Inkling vs Kimi K2.7 Code API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $1 | $0.67 |
| Output tokensPer 1M tokens | $4.05 | $3.35 |
| Cached input (read)Per 1M tokens | $0.17 | $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
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 524K tokens | 262K tokens |
| Max output | 472K tokens | 236K tokens |
| Input types | Audio, Image, Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Medium, Low, Minimal, None | Not available |
| Default reasoning effort | High | Not available |
| Release date | July 17, 2026 | June 12, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Not 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.
- Kimi K2.7 Code vs Grok Build 0.1
- Kimi K2.7 Code vs Kimi K2.6
- Kimi K2.7 Code vs DeepSeek V4 Flash 0423
- Kimi K2.7 Code vs GLM 5 Turbo
- Kimi K2.7 Code vs Gemini 3 Flash Preview
- Kimi K2.7 Code vs GLM 5.1
- Kimi K2.7 Code vs Grok 4.20
- Kimi K2.7 Code vs Grok 4.3
- Kimi K2.7 Code vs GPT-5.4 Mini
- Kimi K2.7 Code vs Kimi K2.5
- Kimi K2.7 Code vs Kimi K2 Thinking
Our take
Kimi K2.7 Code is 1.3x cheaper for a typical chat. Kimi K2.7 Code scores higher on the Artificial Analysis Intelligence Index (25.8 vs 25). Inkling has the larger context window (524K vs 262K 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 Inkling or Kimi K2.7 Code cheaper?
Kimi K2.7 Code is cheaper for a typical chat (2K input tokens and 500 output tokens). Kimi K2.7 Code costs $0.67 per 1M input tokens and $3.35 per 1M output tokens, while Inkling costs $1 per 1M input tokens and $4.05 per 1M output tokens.
Which has a bigger context window, Inkling or Kimi K2.7 Code?
Inkling supports up to 524K tokens of context, compared with 262K for Kimi K2.7 Code.
Is Inkling smarter than Kimi K2.7 Code?
On the Artificial Analysis Intelligence Index, Inkling scores 25 and Kimi K2.7 Code scores 25.8, putting Kimi K2.7 Code ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Inkling and Kimi K2.7 Code at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Inkling and Kimi K2.7 Code answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Inkling and Kimi K2.7 Code at the same time. Compare the answers side by side and keep the best one.