AI model comparison
Qwen3.6 35B A3B 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.
Qwen
Qwen3.6 35B A3B
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token.
- Input / 1M
- $0.15
- Output / 1M
- $1
- Context
- 262K
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
1.2x cheaper for a typical chat
Higher intelligence score
DeepSeek V4 Flash 0423
24.4 vs 18.2 on Artificial Analysis
Larger context window
DeepSeek V4 Flash 0423
1.05M vs 262K tokens
Newer release
Qwen3.6 35B A3B
Released April 27, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.6 35B A3B18.2DeepSeek V4 Flash 042324.4Coding index
Qwen3.6 35B A3B41.9DeepSeek V4 Flash 042352Agentic index
Qwen3.6 35B A3B13.1DeepSeek V4 Flash 042326.3Pricing
Qwen3.6 35B A3B vs DeepSeek V4 Flash 0423 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.6 35B A3B | DeepSeek V4 Flash 0423 |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.01 |
| Output tokensPer 1M tokens | $1 | $1.28 |
| Cached input (read)Per 1M tokens | $0.05 | $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
Qwen3.6 35B A3B$0.80DeepSeek V4 Flash 0423$0.66Coding task
30K in, 4K out
Qwen3.6 35B A3B$8.50$5.50 cachedDeepSeek V4 Flash 0423$5.42$5.42 cachedLong document summary
150K in, 2K out
Qwen3.6 35B A3B$24.50$9.50 cachedDeepSeek 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 | Qwen3.6 35B A3B | DeepSeek V4 Flash 0423 |
|---|---|---|
| Context window | 262K tokens | 1.05M tokens |
| Max output | 236K tokens | 944K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Extra high, High |
| Default reasoning effort | Not available | High |
| Release date | April 27, 2026 | April 24, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.6 35B A3B | DeepSeek V4 Flash 0423 |
|---|---|---|
| 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.
Qwen3.6 35B A3BView full model details- Qwen3.6 35B A3B vs Gemini 3.1 Flash Lite
- Qwen3.6 35B A3B vs Step 3.7 Flash
- Qwen3.6 35B A3B vs GPT-5.4 Nano
- Qwen3.6 35B A3B vs Qwen3.5-35B-A3B
- Qwen3.6 35B A3B vs LongCat 2.0
- Qwen3.6 35B A3B vs MiniMax M2
- Qwen3.6 35B A3B vs GLM 4.6
- Qwen3.6 35B A3B vs Qwen3.5-122B-A10B
- Qwen3.6 35B A3B vs Muse Glimmer 30B
- Qwen3.6 35B A3B vs Step 3.5 Flash
- Qwen3.6 35B A3B vs DeepSeek V3.1 Terminus
DeepSeek V4 Flash 0423View full model details- DeepSeek V4 Flash 0423 vs DeepSeek V4.1 Flash
- 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 DeepSeek V4 Flash 0731
- DeepSeek V4 Flash 0423 vs Claude Opus 5.5
- DeepSeek V4 Flash 0423 vs GLM 5.3
- DeepSeek V4 Flash 0423 vs Step 5 Preview
- DeepSeek V4 Flash 0423 vs Gemini 3.8 Flash
- DeepSeek V4 Flash 0423 vs Hy3
- DeepSeek V4 Flash 0423 vs MiniMax M3
- DeepSeek V4 Flash 0423 vs Gemini 3 Flash Preview
- 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 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 LongCat 2.0
- DeepSeek V4 Flash 0423 vs MiniMax M2
- DeepSeek V4 Flash 0423 vs DeepSeek V3.1 Terminus
Our take
DeepSeek V4 Flash 0423 is 1.2x cheaper for a typical chat. DeepSeek V4 Flash 0423 scores higher on the Artificial Analysis Intelligence Index (24.4 vs 18.2). 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 Qwen3.6 35B A3B 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 Qwen3.6 35B A3B costs $0.15 per 1M input tokens and $1 per 1M output tokens.
Which has a bigger context window, Qwen3.6 35B A3B or DeepSeek V4 Flash 0423?
DeepSeek V4 Flash 0423 supports up to 1.05M tokens of context, compared with 262K for Qwen3.6 35B A3B.
Is Qwen3.6 35B A3B smarter than DeepSeek V4 Flash 0423?
On the Artificial Analysis Intelligence Index, Qwen3.6 35B A3B scores 18.2 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 Qwen3.6 35B A3B and DeepSeek V4 Flash 0423 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.6 35B A3B and DeepSeek V4 Flash 0423 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.6 35B A3B and DeepSeek V4 Flash 0423 at the same time. Compare the answers side by side and keep the best one.