Model comparison · Updated 2 Nov 2026
R1 0528 vs Qwen3.5 397B A17B
R1 0528 and Qwen3.5 397B A17B cost the same on input, $0.50 per 1M tokens. Qwen3.5 397B A17B has the larger context window (262K against 164K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $419 a month for R1 0528 and $549 for Qwen3.5 397B A17B.
Cite
Cite this page
ModelsAtlas. “R1 0528 vs Qwen3.5 397B A17B”. Retrieved 2 Nov 2026. https://modelsatlas.com/compare/deepseek/r1/vs/qwen/3-5-397b-a17b
Model A
by DeepSeek · weights not marked open · GRIDD3
$0.50
- Source
- Our catalogue
- Retrieved
- 2 Nov 2026
Model B
by Qwen (Alibaba) · weights not marked open · GRIDD4
$0.50
- Source
- Our catalogue
- Retrieved
- 2 Nov 2026
Key numbers
Standard tier · highlighted = better
What it costs for real workloads
Monthly, standard tier, 30 days
R1 0528 Qwen3.5 397B A17B · 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. Qwen3.5 397B A17B (D4) sits 1 context band larger than R1 0528 (D3).
Same square as R1 0528: Codestral 2508 ($0.30), Command A+ ($0.30), MiniMax M2.1 ($0.30). Same square as Qwen3.5 397B A17B: Qwen3 Coder 480B A35B ($0.30), Devstral 2 2512 ($0.40), Qwen3.6 27B ($0.45). Open D3 · Open D4
View the map as a table (3 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDD3 | $0.30–1 | 128–256K | R1 0528, Nano Banana 2 (Gemini 3.1 Flash Image), Llama 3.1 70B Instruct, Mistral Medium 3, Mistral Medium 3.1, Command A+, Muse Glimmer 30B |
| GRIDD4 | $0.30–1 | 256K–1M | Qwen3.5 397B A17B, Qwen3.6 27B, Devstral 2 2512, Qwen3 Coder 480B A35B |
| GRIDD5 | $0.30–1 | 1M | Gemini 3 Flash Preview |
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 R1 0528 if…
- output dominates your bill: $2.15 per 1M output against $3.60
Choose Qwen3.5 397B A17B if…
- your prompts are long: it takes 262,144 tokens against 163,840
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 R1 0528 better than Qwen3.5 397B A17B?
Which is cheaper, R1 0528 or Qwen3.5 397B A17B?
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
R1 0528
By DeepSeek. $0.50 input and $2.15 output per 1M tokens, 164K context, atlas square D3. Tiers listed: standard.
Full specs & pricing →Qwen3.5 397B A17B
By Qwen (Alibaba). $0.50 input and $3.60 output per 1M tokens, 262K context, atlas square D4. Tiers listed: standard.
Full specs & pricing →Compare R1 0528 with…
Compare Qwen3.5 397B A17B with…
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is R1 0528 better than Qwen3.5 397B A17B?
- Which is cheaper, R1 0528 or Qwen3.5 397B A17B?
- How much does each cost per 1M tokens?