AI model comparison
Inkling vs DeepSeek V4 Flash 0423
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
DeepSeek
DeepSeek V4 Flash 0423
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window.
- Input / 1M
- $0.01
- Output / 1M
- $1.28
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
DeepSeek V4 Flash 0423
6.1x cheaper for a typical chat
Higher intelligence score
Inkling
25 vs 24.4 on Artificial Analysis
Larger context window
DeepSeek V4 Flash 0423
1.05M vs 524K 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 DeepSeek V4 Flash 0423 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $1 | $0.01 |
| Output tokensPer 1M tokens | $4.05 | $1.28 |
| Cached input (read)Per 1M tokens | $0.17 | $0.01 |
| 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 | 1.05M tokens |
| Max output | 472K tokens | 944K tokens |
| Input types | Audio, Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Medium, Low, Minimal, None | Extra high, High |
| Default reasoning effort | High | High |
| Release date | July 17, 2026 | April 24, 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 |
Our take
DeepSeek V4 Flash 0423 is 6.1x cheaper for a typical chat. Inkling scores higher on the Artificial Analysis Intelligence Index (25 vs 24.4). DeepSeek V4 Flash 0423 has the larger context window (1.05M vs 524K 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 DeepSeek V4 Flash 0423 cheaper?
DeepSeek V4 Flash 0423 is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4 Flash 0423 costs $0.01 per 1M input tokens and $1.28 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 DeepSeek V4 Flash 0423?
DeepSeek V4 Flash 0423 supports up to 1.05M tokens of context, compared with 524K for Inkling.
Is Inkling smarter than DeepSeek V4 Flash 0423?
On the Artificial Analysis Intelligence Index, Inkling scores 25 and DeepSeek V4 Flash 0423 scores 24.4, putting Inkling ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Inkling and DeepSeek V4 Flash 0423 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Inkling and DeepSeek V4 Flash 0423 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Inkling and DeepSeek V4 Flash 0423 at the same time. Compare the answers side by side and keep the best one.