AI model comparison
LongCat 2.0 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.
Meituan
LongCat 2.0
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total.
- Input / 1M
- $0.30
- Output / 1M
- $1.20
- Context
- 1.05M
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
1.8x cheaper for a typical chat
Higher intelligence score
DeepSeek V4 Flash 0423
24.4 vs 19.1 on Artificial Analysis
Larger context window
LongCat 2.0
1.05M vs 1.05M tokens
Newer release
LongCat 2.0
Released July 20, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4 Flash 042324.4Coding index
DeepSeek V4 Flash 042352Agentic index
DeepSeek V4 Flash 042326.3Pricing
LongCat 2.0 vs DeepSeek V4 Flash 0423 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4 Flash 0423 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.30 | $0.01 |
| Output tokensPer 1M tokens | $1.20 | $1.28 |
| Cached input (read)Per 1M tokens | $0.01 | $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
DeepSeek V4 Flash 0423$0.66Coding task
30K in, 4K out
DeepSeek V4 Flash 0423$5.42$5.42 cachedLong document summary
150K in, 2K out
DeepSeek V4 Flash 0423$4.05$4.05 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V4 Flash 0423 | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 262K tokens | 944K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Extra high, High |
| Default reasoning effort | Not available | High |
| Release date | July 20, 2026 | April 24, 2026 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4 Flash 0423 | |
|---|---|---|
| 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.
DeepSeek V4 Flash 0423View full model details- DeepSeek V4 Flash 0423 vs DeepSeek V4.1 Flash
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- DeepSeek V4 Flash 0423 vs Claude Opus 5.5
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- DeepSeek V4 Flash 0423 vs Solar Mini 4
- DeepSeek V4 Flash 0423 vs MiMo-V2.5
- DeepSeek V4 Flash 0423 vs DeepSeek V4 Pro 0423
- DeepSeek V4 Flash 0423 vs Solar Pro 4
- DeepSeek V4 Flash 0423 vs DeepSeek V3.2
- DeepSeek V4 Flash 0423 vs Gemini 3.5 Flash Lite
- DeepSeek V4 Flash 0423 vs GLM 5.3 FlashX
- DeepSeek V4 Flash 0423 vs Step 3.7 Flash
- DeepSeek V4 Flash 0423 vs MiMo-V2.5-Pro
- DeepSeek V4 Flash 0423 vs Kimi K2.6
- DeepSeek V4 Flash 0423 vs GPT-5.4 Mini
- DeepSeek V4 Flash 0423 vs GPT-5 Mini
- DeepSeek V4 Flash 0423 vs GPT-5.6 Luna Pro
- DeepSeek V4 Flash 0423 vs GPT-5.4 Nano
- DeepSeek V4 Flash 0423 vs Qwen3.7 Plus
- DeepSeek V4 Flash 0423 vs Qwen3.6 35B A3B
- DeepSeek V4 Flash 0423 vs MiniMax M2.7
- DeepSeek V4 Flash 0423 vs GLM 4.7
- DeepSeek V4 Flash 0423 vs Ling 3.0 Flash VL
- DeepSeek V4 Flash 0423 vs GLM 5
- DeepSeek V4 Flash 0423 vs Kimi K2.7 Code
- DeepSeek V4 Flash 0423 vs Qwen3.5 397B A17B
- DeepSeek V4 Flash 0423 vs Kimi K2.5
- DeepSeek V4 Flash 0423 vs Grok 4.3
- DeepSeek V4 Flash 0423 vs Grok Build 0.1
- DeepSeek V4 Flash 0423 vs Muse Glimmer 30B
- DeepSeek V4 Flash 0423 vs Qwen3.6 Plus
- DeepSeek V4 Flash 0423 vs GLM 5 Turbo
- DeepSeek V4 Flash 0423 vs GLM 5.1
- DeepSeek V4 Flash 0423 vs Nemotron 3 Ultra
- DeepSeek V4 Flash 0423 vs Grok 4.20
- DeepSeek V4 Flash 0423 vs Inkling Small
- DeepSeek V4 Flash 0423 vs GPT-5.1
- DeepSeek V4 Flash 0423 vs Inkling
- DeepSeek V4 Flash 0423 vs GPT-5.1-Codex
- DeepSeek V4 Flash 0423 vs GLM 4.6
- DeepSeek V4 Flash 0423 vs GLM 5V Turbo
- DeepSeek V4 Flash 0423 vs GPT-5
- DeepSeek V4 Flash 0423 vs Qwen3.5-27B
- DeepSeek V4 Flash 0423 vs MiniMax M2.5
- DeepSeek V4 Flash 0423 vs Ling 3.0 Flash Fin
- DeepSeek V4 Flash 0423 vs Qwen3.5-35B-A3B
- DeepSeek V4 Flash 0423 vs Kimi K2 Thinking
- DeepSeek V4 Flash 0423 vs Qwen3.6 27B
- DeepSeek V4 Flash 0423 vs MiniMax M2.1
- DeepSeek V4 Flash 0423 vs GPT-5.1-Codex-Mini
- DeepSeek V4 Flash 0423 vs MiniMax M2
- DeepSeek V4 Flash 0423 vs DeepSeek V3.1 Terminus
Our take
DeepSeek V4 Flash 0423 is 1.8x cheaper for a typical chat. DeepSeek V4 Flash 0423 scores higher on the Artificial Analysis Intelligence Index (24.4 vs 19.1). LongCat 2.0 has the larger context window (1.05M vs 1.05M 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 LongCat 2.0 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 LongCat 2.0 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens.
Which has a bigger context window, LongCat 2.0 or DeepSeek V4 Flash 0423?
LongCat 2.0 supports up to 1.05M tokens of context, compared with 1.05M for DeepSeek V4 Flash 0423.
Is LongCat 2.0 smarter than DeepSeek V4 Flash 0423?
On the Artificial Analysis Intelligence Index, LongCat 2.0 scores 19.1 and DeepSeek V4 Flash 0423 scores 24.4, putting DeepSeek V4 Flash 0423 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use LongCat 2.0 and DeepSeek V4 Flash 0423 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see LongCat 2.0 and DeepSeek V4 Flash 0423 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to LongCat 2.0 and DeepSeek V4 Flash 0423 at the same time. Compare the answers side by side and keep the best one.