Model comparison · Updated 2 Nov 2026
DeepSeek V4 Flash 0731 vs Qwen3 235B A22B Instruct 2507
Qwen3 235B A22B Instruct 2507 is about the same price on input ($0.09 against $0.09 per 1M tokens), though DeepSeek V4 Flash 0731 is cheaper on output. DeepSeek V4 Flash 0731 has the larger context window (1.05M against 262K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $57.33 a month for DeepSeek V4 Flash 0731 and $90.00 for Qwen3 235B A22B Instruct 2507.
Cite
Cite this page
ModelsAtlas. “DeepSeek V4 Flash 0731 vs Qwen3 235B A22B Instruct 2507”. Retrieved 2 Nov 2026. https://modelsatlas.com/compare/deepseek/v4/vs/qwen/3-235b-a22b
Model A
by DeepSeek · weights not marked open · GRIDB5
$0.09
- Source
- Our catalogue
- Retrieved
- 2 Nov 2026
Model B
by Qwen (Alibaba) · weights not marked open · GRIDB4
$0.09
- Source
- Our catalogue
- Retrieved
- 10 Oct 2026
Key numbers
Standard tier · highlighted = better
What it costs for real workloads
Monthly, standard tier, 30 days
DeepSeek V4 Flash 0731 Qwen3 235B A22B Instruct 2507 · Derived from the standard-tier prices above, input and output tokens per request as stated, 30 days. Excludes caching discounts and batch. Try your own numbers.
On the atlas
Price band (A–H) × context band (1–6)
1 square apart. Qwen3 235B A22B Instruct 2507 (B4) sits 1 context band smaller than DeepSeek V4 Flash 0731 (B5).
Same square as DeepSeek V4 Flash 0731: Qwen3.7 Flash ($0.03), DeepSeek V4.1 Flash 1017 ($0.05), Qwen3.5-Flash ($0.07). Same square as Qwen3 235B A22B Instruct 2507: Gemma 4 26B A4B ($0.02), Nemotron 3 Nano 30B A3B ($0.06), Qwen3 Next 80B A3B Instruct ($0.09). Open B5 · Open B4
View the map as a table (3 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDB4 | <$0.10 | 256K–1M | Qwen3 235B A22B Instruct 2507, Qwen3 Next 80B A3B Instruct, Nemotron 3 Nano 30B A3B, Gemma 4 26B A4B |
| GRIDB5 | <$0.10 | 1M | DeepSeek V4 Flash 0731, Nemotron 3 Super, Nemotron 3.5 Lightning (free), Qwen3.5-Flash, DeepSeek V4.1 Flash 1017, Qwen3.7 Flash |
| GRIDC4 | $0.10–0.30 | 256K–1M | Qwen3 30B A3B Instruct 2507 |
Capabilities side by side
Only what our records list
Neither record lists input types, so we do not claim any.
Which should you choose?
EditorialChoose DeepSeek V4 Flash 0731 if…
- output dominates your bill: $0.18 per 1M output against $0.55
- your prompts are long: it takes 1,048,576 tokens against 262,144
Choose Qwen3 235B A22B Instruct 2507 if…
- you pay by the token: it costs $0.09 per 1M input against $0.09
- you want extended reasoning: it lists a thinking tier
Each reason is a fact from the tables above. Picking between them is our judgement, and we do not benchmark quality: price and context are what we can measure, so test both on your own prompts before you commit.
Questions
Is DeepSeek V4 Flash 0731 better than Qwen3 235B A22B Instruct 2507?
Which is cheaper, DeepSeek V4 Flash 0731 or Qwen3 235B A22B Instruct 2507?
How much does each cost per 1M tokens?
Which has the larger context window?
Do both offer batch pricing?
Can both read images or audio?
Is either model open-weight?
What would each cost for a support chatbot?
About the two models
DeepSeek V4 Flash 0731
By DeepSeek. $0.09 input and $0.18 output per 1M tokens, 1.05M context, atlas square B5. Tiers listed: standard.
Full specs & pricing →Qwen3 235B A22B Instruct 2507
By Qwen (Alibaba). $0.09 input and $0.55 output per 1M tokens, 262K context, atlas square B4. Tiers listed: standard, thinking.
Full specs & pricing →Compare DeepSeek V4 Flash 0731 with…
Compare Qwen3 235B A22B Instruct 2507 with…
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is DeepSeek V4 Flash 0731 better than Qwen3 235B A22B Instruct 2507?
- Which is cheaper, DeepSeek V4 Flash 0731 or Qwen3 235B A22B Instruct 2507?
- How much does each cost per 1M tokens?