Model comparison · Updated 2 Nov 2026

R1 0528 vs Qwen3.6 27B

Qwen3.6 27B is about 1.1× cheaper on input ($0.45 against $0.50 per 1M tokens), though R1 0528 is cheaper on output. 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 $419 a month for R1 0528 and $446 for Qwen3.6 27B.

Ask an AI about this pageGChatGPT CClaude PPerplexity GeGemini XGrok

CoCopilot AIGoogle AI Mode

Cite

Cite this page

ModelsAtlas. “R1 0528 vs Qwen3.6 27B”. Retrieved 2 Nov 2026. https://modelsatlas.com/compare/deepseek/r1/vs/qwen/3-6-27b

Model A

R1 0528

by DeepSeek · weights not marked open · GRIDD3

Input / 1M
$0.50
observed We measured
Source
Our catalogue
Retrieved
2 Nov 2026

Output / 1M$2.15

Context164K

Model B

Qwen3.6 27B

by Qwen (Alibaba) · open weights · GRIDD4

Input / 1M
$0.45
observed We measured
Source
Our catalogue
Retrieved
2 Nov 2026

Output / 1M$2.70

Context262K

Key numbers

Standard tier · highlighted = better

R1 0528

Qwen3.6 27B

Input / 1M tokens

$0.50

$0.45

Output / 1M tokens

$2.15

$2.70

Batch input / output

Not listed

Context window

163,840

262,144

Input types

Not disclosed

text

Weights

Not marked open

Open

License

Not disclosed

apache-2.0

Tiers listed

standard

Prices checked

2026-11-02

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out

$419/mo

$446/mo

RAG over documents2k queries/day · 12k in, 500 out

$424/mo

$405/mo

Coding agent300 tasks/day · 60k in, 8k out

$425/mo

$437/mo

R1 0528 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 R1 0528 (D3).

Same square as R1 0528: Codestral 2508 ($0.30), Command A+ ($0.30), MiniMax M2.1 ($0.30). Same square as Qwen3.6 27B: Qwen3 Coder 480B A35B ($0.30), Devstral 2 2512 ($0.40), Qwen3.5 397B A17B ($0.50). Open D3 · Open D4

R1 0528Qwen3.6 27BNearest neighboursOpen weights

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	Qwen3.6 27B, Qwen3.5 397B A17B, 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

R1 0528

Qwen3.6 27B

Vision input

Not disclosed

Not recorded

Audio input

Not disclosed

Not recorded

Open weights

Not marked open

Supported

Batch tier

Not listed

Free tier

Not listed

Thinking tier

Not listed

Which should you choose?

Editorial

Choose R1 0528 if…

output dominates your bill: $2.15 per 1M output against $2.70

Choose Qwen3.6 27B if…

you pay by the token: it costs $0.45 per 1M input against $0.50
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 R1 0528 better than Qwen3.6 27B?

We do not benchmark quality, so we cannot say. On the recorded numbers: Qwen3.6 27B is about 1.1× cheaper on input ($0.45 against $0.50 per 1M tokens), though R1 0528 is cheaper on output. 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 $419 a month for R1 0528 and $446 for Qwen3.6 27B. Which is better for you depends on your task; test both on your own prompts.

Which is cheaper, R1 0528 or Qwen3.6 27B?

Qwen3.6 27B: $0.45 against $0.50 per 1M input tokens, and $2.70 against $2.15 per 1M output, on standard pricing.

How much does each cost per 1M tokens?

R1 0528: $0.50 input and $2.15 output. Qwen3.6 27B: $0.45 input and $2.70 output. Standard tier, USD.

Which has the larger context window?

Qwen3.6 27B, with 262,144 tokens. R1 0528 has 163,840 tokens.

Do both offer batch pricing?

Neither lists a batch tier in our catalogue.

Can both read images or audio?

Input types recorded for R1 0528: none recorded. For Qwen3.6 27B: text. Where a record lists none we say so rather than guess; check each vendor's documentation before relying on a capability.

Is either model open-weight?

R1 0528: not marked open-weight in our records. Qwen3.6 27B: open weights.

What would each cost for a support chatbot?

At 10,000 chats a day, 1,500 input and 300 output tokens each, 30 days, standard tier: about $419 a month for R1 0528 and $446 for Qwen3.6 27B. This is our calculation from the listed prices, not a quote.