AI model comparison
DeepSeek V4 Flash 0423 vs Step 3.5 Flash
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
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
- $0.09
- Output / 1M
- $0.18
- Context
- 1.05M
StepFun
Step 3.5 Flash
Step 3.5 Flash is StepFun's most capable open-source foundation model.
- Input / 1M
- $0.10
- Output / 1M
- $0.30
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
DeepSeek V4 Flash 0423
1.3x cheaper for a typical chat
Higher intelligence score
DeepSeek V4 Flash 0423
24.4 vs 17 on Artificial Analysis
Larger context window
DeepSeek V4 Flash 0423
1.05M vs 262K tokens
Newer release
DeepSeek V4 Flash 0423
Released April 24, 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
DeepSeek V4 Flash 0423 vs Step 3.5 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4 Flash 0423 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.09 | $0.10 |
| Output tokensPer 1M tokens | $0.18 | $0.30 |
| Cached input (read)Per 1M tokens | $0.02 | Not available |
| 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$0.27Coding task
30K in, 4K out
DeepSeek V4 Flash 0423$3.46$1.27 cachedLong document summary
150K in, 2K out
DeepSeek V4 Flash 0423$14.01$3.09 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 | 262K tokens |
| Max output | 944K tokens | 66K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High | Not available |
| Default reasoning effort | High | Not available |
| Release date | April 24, 2026 | January 29, 2026 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4 Flash 0423 | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Not supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Not 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
- DeepSeek V4 Flash 0423 vs Step 5 Preview
- DeepSeek V4 Flash 0423 vs GLM 5.3 Flash
- DeepSeek V4 Flash 0423 vs MiMo-V2.6-Flash
- DeepSeek V4 Flash 0423 vs Hy4 preview
- DeepSeek V4 Flash 0423 vs GPT-6 Luna
- DeepSeek V4 Flash 0423 vs Claude Opus 5.5
- DeepSeek V4 Flash 0423 vs DeepSeek V4 Flash 0731
- DeepSeek V4 Flash 0423 vs GLM 5.3
- DeepSeek V4 Flash 0423 vs Hy3
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- DeepSeek V4 Flash 0423 vs Muse Spark 1.3 Contributor
- DeepSeek V4 Flash 0423 vs Solar Mini 4
- DeepSeek V4 Flash 0423 vs Solar Pro 4
- DeepSeek V4 Flash 0423 vs DeepSeek V4 Pro 0423
- DeepSeek V4 Flash 0423 vs MiMo-V2.5
- DeepSeek V4 Flash 0423 vs Qwen3.7 Flash
- DeepSeek V4 Flash 0423 vs DeepSeek V3.2
- DeepSeek V4 Flash 0423 vs Mistral Nemo
- DeepSeek V4 Flash 0423 vs MiMo-V2.5-Pro
- DeepSeek V4 Flash 0423 vs Ling 3.0 Flash
- DeepSeek V4 Flash 0423 vs Ling 3.0 Flash VL
- DeepSeek V4 Flash 0423 vs Ling 3.0 Flash Fin
- DeepSeek V4 Flash 0423 vs DeepSeek V3.2 Exp
- Step 3.5 Flash vs Hy3
- Step 3.5 Flash vs Ling 3.0 Flash
- Step 3.5 Flash vs Step 3.7 Flash
- Step 3.5 Flash vs Qwen3.6 35B A3B
- Step 3.5 Flash vs Gemma 4 26B A4B
- Step 3.5 Flash vs DeepSeek V3.2 Exp
- Step 3.5 Flash vs Gemini 3.1 Flash Lite
- Step 3.5 Flash vs GLM 4.7 Flash
- Step 3.5 Flash vs Gemma 4 31B
- Step 3.5 Flash vs GPT-5 Nano
Our take
DeepSeek V4 Flash 0423 is 1.3x cheaper for a typical chat. DeepSeek V4 Flash 0423 scores higher on the Artificial Analysis Intelligence Index (24.4 vs 17). DeepSeek V4 Flash 0423 has the larger context window (1.05M 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 DeepSeek V4 Flash 0423 or Step 3.5 Flash cheaper?
DeepSeek V4 Flash 0423 is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4 Flash 0423 costs $0.09 per 1M input tokens and $0.18 per 1M output tokens, while Step 3.5 Flash costs $0.10 per 1M input tokens and $0.30 per 1M output tokens.
Which has a bigger context window, DeepSeek V4 Flash 0423 or Step 3.5 Flash?
DeepSeek V4 Flash 0423 supports up to 1.05M tokens of context, compared with 262K for Step 3.5 Flash.
Is DeepSeek V4 Flash 0423 smarter than Step 3.5 Flash?
On the Artificial Analysis Intelligence Index, DeepSeek V4 Flash 0423 scores 24.4 and Step 3.5 Flash scores 17, 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 DeepSeek V4 Flash 0423 and Step 3.5 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4 Flash 0423 and Step 3.5 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4 Flash 0423 and Step 3.5 Flash at the same time. Compare the answers side by side and keep the best one.