Live survey286 models · 13 providers · 17,592 auditsAudited Using Git Worktrees · SAFE →What changedHow we verifyllms.txt

Model comparison · Updated 10 Oct 2026

Devstral 2 2512 vs Qwen3.6 27B

Qwen3.6 27B is about 1.3× cheaper on input ($0.32 against $0.40 per 1M tokens), though Devstral 2 2512 is cheaper on output. Both have a 262K-token context window. For a support chatbot at 10,000 chats a day, the standard-tier bill is about $360 a month for Devstral 2 2512 and $432 for Qwen3.6 27B.

Ask an AI about this pageGChatGPTCClaudePPerplexityGeGeminiXGrok
More
CoCopilotAIGoogle AI Mode
Cite

Cite this page

ModelsAtlas. “Devstral 2 2512 vs Qwen3.6 27B”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/mistralai/devstral/vs/qwen/3-6-27b

Model A

Devstral 2 2512

by Mistral AI · weights not marked open · GRIDD4

Input / 1M
$0.40
observed We measured
Source
Our catalogue
Retrieved
1 Sep 2026
Output / 1M$2.00
Context262K
vs

Model B

Qwen3.6 27B

by Qwen (Alibaba) · open weights · GRIDD4

Input / 1M
$0.32
observed We measured
Source
Our catalogue
Retrieved
10 Oct 2026
Output / 1M$3.20
Context262K

Key numbers

Standard tier · highlighted = better

Devstral 2 2512
Qwen3.6 27B
Input / 1M tokens
$0.40
$0.32
Output / 1M tokens
$2.00
$3.20
Batch input / output
Not listed
Not listed
Context window
262,144
262,144
Input types
Not disclosed
text
Weights
Not marked open
Open
License
Not disclosed
apache-2.0
Tiers listed
standard
standard
Prices checked
2026-09-01
2026-10-10

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$360/mo
$432/mo
RAG over documents2k queries/day · 12k in, 500 out
$348/mo
$326/mo
Coding agent300 tasks/day · 60k in, 8k out
$360/mo
$403/mo

Devstral 2 2512   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)

Same square. Devstral 2 2512 and Qwen3.6 27B share D4.

Same square as Devstral 2 2512: Qwen3 Coder 480B A35B ($0.30), Qwen3.5 397B A17B ($0.55). Open D4

AFreeB<$0.10C$0.10–0.30D$0.30–1E$1–3F$3–10G$10–30H$30+1<32K232–128K3128–256K4256K–1M51M6>1MINPUT PRICE PER 1M TOKENS →CONTEXT WINDOW ↑ · position within a square follows the real valueQwen3 Coder 480B A35B · D4Qwen3.5 397B A17B · D4Llama 3.1 70B Instruct · D3Mistral Medium 3 · D3Mistral Medium 3.1 · D3DeepSeek V3 · D3Qwen3.7 Plus · D5Qwen3.6 Plus · D5Devstral 2 2512Devstral 2 2512Qwen3.6 27BQwen3.6 27B
Devstral 2 2512Qwen3.6 27BNearest neighboursOpen weights
View the map as a table (3 squares)
SquarePrice bandContext bandModels
GRIDD3$0.30–1128–256KLlama 3.1 70B Instruct, Mistral Medium 3, Mistral Medium 3.1, DeepSeek V3
GRIDD4$0.30–1256K–1MDevstral 2 2512, Qwen3.6 27B, Qwen3 Coder 480B A35B, Qwen3.5 397B A17B
GRIDD5$0.30–11MQwen3.7 Plus, Qwen3.6 Plus

Capabilities side by side

Only what our records list

Devstral 2 2512
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
Not listed
Free tier
Not listed
Not listed
Thinking tier
Not listed
Not listed

Which should you choose?

Editorial

Choose Devstral 2 2512 if…

  • output dominates your bill: $2.00 per 1M output against $3.20

Choose Qwen3.6 27B if…

  • you pay by the token: it costs $0.32 per 1M input against $0.40
  • 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 Devstral 2 2512 better than Qwen3.6 27B?
We do not benchmark quality, so we cannot say. On the recorded numbers: Qwen3.6 27B is about 1.3× cheaper on input ($0.32 against $0.40 per 1M tokens), though Devstral 2 2512 is cheaper on output. Both have a 262K-token context window. For a support chatbot at 10,000 chats a day, the standard-tier bill is about $360 a month for Devstral 2 2512 and $432 for Qwen3.6 27B. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Devstral 2 2512 or Qwen3.6 27B?
Qwen3.6 27B: $0.32 against $0.40 per 1M input tokens, and $3.20 against $2.00 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Devstral 2 2512: $0.40 input and $2.00 output. Qwen3.6 27B: $0.32 input and $3.20 output. Standard tier, USD.
Which has the larger context window?
Neither: both have 262,144 tokens.
Do both offer batch pricing?
Neither lists a batch tier in our catalogue.
Can both read images or audio?
Input types recorded for Devstral 2 2512: 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?
Devstral 2 2512: 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 $360 a month for Devstral 2 2512 and $432 for Qwen3.6 27B. This is our calculation from the listed prices, not a quote.

About the two models

Devstral 2 2512

By Mistral AI. $0.40 input and $2.00 output per 1M tokens, 262K context, atlas square D4. 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 →

Keep going in your AI

Opens with this page as the source. We add nothing else to the prompt.