Model comparison · Updated 10 Oct 2026
DeepSeek V3 vs Qwen3.6 27B
DeepSeek V3 and Qwen3.6 27B cost the same on input, $0.32 per 1M tokens. Qwen3.6 27B 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 $224 a month for DeepSeek V3 and $432 for Qwen3.6 27B.
Cite
Cite this page
ModelsAtlas. “DeepSeek V3 vs Qwen3.6 27B”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/deepseek/v3/vs/qwen/3-6-27b
Model A
by DeepSeek · weights not marked open · GRIDD3
$0.32
- Source
- Our catalogue
- Retrieved
- 10 Oct 2026
Model B
by Qwen (Alibaba) · open weights · GRIDD4
$0.32
- 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 V3 Qwen3.6 27B · 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. Qwen3.6 27B (D4) sits 1 context band larger than DeepSeek V3 (D3).
Same square as DeepSeek V3: Codestral 2508 ($0.30), Command A+ ($0.30), MiniMax M2 ($0.30). Same square as Qwen3.6 27B: Qwen3 Coder 480B A35B ($0.30), Devstral 2 2512 ($0.40), Qwen3.5 397B A17B ($0.55). Open D3 · Open D4
View the map as a table (3 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDD3 | $0.30–1 | 128–256K | DeepSeek V3, Command A+, Muse Glimmer 30B, MiniMax M2, MiniMax M2.1, Codestral 2508, Llama 3.1 70B Instruct |
| GRIDD4 | $0.30–1 | 256K–1M | Qwen3.6 27B, Qwen3 Coder 480B A35B, Devstral 2 2512, Qwen3.5 397B A17B |
| GRIDD5 | $0.30–1 | 1M | Qwen3.7 Plus, Qwen3.6 Plus |
Capabilities side by side
Only what our records list
Which should you choose?
EditorialChoose DeepSeek V3 if…
- output dominates your bill: $0.89 per 1M output against $3.20
Choose Qwen3.6 27B if…
- your prompts are long: it takes 262,144 tokens against 163,840
- you want open weights, so you can run the model yourself
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 V3 better than Qwen3.6 27B?
Which is cheaper, DeepSeek V3 or Qwen3.6 27B?
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 V3
By DeepSeek. $0.32 input and $0.89 output per 1M tokens, 164K context, atlas square D3. Tiers listed: standard.
Full specs & pricing →Qwen3.6 27B
By Qwen (Alibaba), open weights. $0.32 input and $3.20 output per 1M tokens, 262K context, atlas square D4. Tiers listed: standard.
Full specs & pricing →Compare DeepSeek V3 with…
- Codestral 2508$0.30
- Command A+$0.30
- Muse Glimmer 30B$0.30
- MiniMax M2$0.30
- All alternatives →
Compare Qwen3.6 27B with…
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is DeepSeek V3 better than Qwen3.6 27B?
- Which is cheaper, DeepSeek V3 or Qwen3.6 27B?
- How much does each cost per 1M tokens?