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Model comparison · Updated 10 Oct 2026

Ministral 3 8B 2512 vs Qwen3.5-27B

Ministral 3 8B 2512 is about 1.7× cheaper on input ($0.15 against $0.26 per 1M tokens) and 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 $81.00 a month for Ministral 3 8B 2512 and $351 for Qwen3.5-27B.

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ModelsAtlas. “Ministral 3 8B 2512 vs Qwen3.5-27B”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/mistralai/ministral-8b/vs/qwen/3-5-27b

Model A

Ministral 3 8B 2512

by Mistral AI · weights not marked open · GRIDC4

Input / 1M
$0.15
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.15
Context262K
vs

Model B

Qwen3.5-27B

by Qwen (Alibaba) · weights not marked open · GRIDC4

Input / 1M
$0.26
observed We measured
Source
Our catalogue
Retrieved
10 Oct 2026
Output / 1M$2.60
Context262K

Key numbers

Standard tier · highlighted = better

Ministral 3 8B 2512
Qwen3.5-27B
Input / 1M tokens
$0.15
$0.26
Output / 1M tokens
$0.15
$2.60
Batch input / output
$0.08 / $0.08
Not listed
Context window
262,144
262,144
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
batch, standard
standard
Prices checked
2026-10-10
2026-10-10

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$81.00/mo
$351/mo
RAG over documents2k queries/day · 12k in, 500 out
$113/mo
$265/mo
Coding agent300 tasks/day · 60k in, 8k out
$91.80/mo
$328/mo

Ministral 3 8B 2512   Qwen3.5-27B · 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. Ministral 3 8B 2512 and Qwen3.5-27B share C4.

Same square as Ministral 3 8B 2512: Qwen3 30B A3B Instruct 2507 ($0.10), Qwen3 Next 80B A3B Instruct ($0.10), Qwen3.5-9B ($0.10). Open C4

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 valueMistral Small 4 · C4Qwen3 VL 30B A3B Instruct · C4Qwen3 Coder Next · C4Ministral 3 14B 2512 · C4Qwen3 VL 235B A22B Instruct · C4Qwen3 30B A3B Instruct 2507 · C4Qwen3.5-122B-A10B · C4Qwen3 VL 8B Instruct · C4Ministral 3 8B 2512Ministral 3 8B 2512Qwen3.5-27BQwen3.5-27B
Ministral 3 8B 2512Qwen3.5-27BNearest neighboursOpen weights
View the map as a table (1 squares)
SquarePrice bandContext bandModels
GRIDC4$0.10–0.30256K–1MMinistral 3 8B 2512, Qwen3.5-27B, Mistral Small 4, Qwen3 VL 30B A3B Instruct, Qwen3 Coder Next, Ministral 3 14B 2512, Qwen3 VL 235B A22B Instruct, Qwen3 30B A3B Instruct 2507, Qwen3.5-122B-A10B, Qwen3 VL 8B Instruct

Capabilities side by side

Only what our records list

Ministral 3 8B 2512
Qwen3.5-27B
Vision input
Not disclosed
Not disclosed
Audio input
Not disclosed
Not disclosed
Open weights
Not marked open
Not marked open
Batch tier
Supported
Not listed
Free tier
Not listed
Not listed
Thinking tier
Not listed
Not listed

Neither record lists input types, so we do not claim any.

Which should you choose?

Editorial

Choose Ministral 3 8B 2512 if…

  • you pay by the token: it costs $0.15 per 1M input against $0.26
  • output dominates your bill: $0.15 per 1M output against $2.60
  • work can wait: it lists a batch tier and the other does not

Choose Qwen3.5-27B if…

Nothing in the recorded numbers favours Qwen3.5-27B over Ministral 3 8B 2512. Pick it for what our records do not cover — your own tests, or an account you already have with Qwen (Alibaba).

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 Ministral 3 8B 2512 better than Qwen3.5-27B?
We do not benchmark quality, so we cannot say. On the recorded numbers: Ministral 3 8B 2512 is about 1.7× cheaper on input ($0.15 against $0.26 per 1M tokens) and 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 $81.00 a month for Ministral 3 8B 2512 and $351 for Qwen3.5-27B. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Ministral 3 8B 2512 or Qwen3.5-27B?
Ministral 3 8B 2512: $0.15 against $0.26 per 1M input tokens, and $0.15 against $2.60 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Ministral 3 8B 2512: $0.15 input and $0.15 output. Qwen3.5-27B: $0.26 input and $2.60 output. Standard tier, USD.
Which has the larger context window?
Neither: both have 262,144 tokens.
Do both offer batch pricing?
Ministral 3 8B 2512 lists a batch tier, at 50% of its standard price. Qwen3.5-27B lists no batch tier.
Can both read images or audio?
Input types recorded for Ministral 3 8B 2512: none recorded. For Qwen3.5-27B: none recorded. 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?
Ministral 3 8B 2512: not marked open-weight in our records. Qwen3.5-27B: not marked open-weight in our records.
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 $81.00 a month for Ministral 3 8B 2512 and $351 for Qwen3.5-27B. This is our calculation from the listed prices, not a quote.

About the two models

Ministral 3 8B 2512

By Mistral AI. $0.15 input and $0.15 output per 1M tokens, 262K context, atlas square C4. Tiers listed: batch, standard.

Full specs & pricing →

Qwen3.5-27B

By Qwen (Alibaba). $0.26 input and $2.60 output per 1M tokens, 262K context, atlas square C4. Tiers listed: standard.

Full specs & pricing →

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