Model comparison · Updated 10 Oct 2026
Gemma 2 27B vs Qwen2.5 VL 72B Instruct
Gemma 2 27B is about 1.2× cheaper on input ($0.65 against $0.80 per 1M tokens) and on output. Qwen2.5 VL 72B Instruct has the larger context window (128K against 8K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $351 a month for Gemma 2 27B and $450 for Qwen2.5 VL 72B Instruct.
Cite
Cite this page
ModelsAtlas. “Gemma 2 27B vs Qwen2.5 VL 72B Instruct”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/google/gemma-2-27b-it/vs/qwen/2-5-vl-72b-instruct
Model A
by Google · weights not marked open · GRIDD1
$0.65
- Source
- Our catalogue
- Retrieved
- 17 Aug 2026
Model B
by Qwen (Alibaba) · weights not marked open · GRIDD2
$0.80
- Source
- Our catalogue
- Retrieved
- 10 Oct 2026
Key numbers
Standard tier · highlighted = better
What it costs for real workloads
Monthly, standard tier, 30 days
Gemma 2 27B Qwen2.5 VL 72B Instruct · 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. Qwen2.5 VL 72B Instruct (D2) sits 1 context band larger than Gemma 2 27B (D1).
Same square as Gemma 2 27B: GPT-3.5 Turbo ($0.50). Same square as Qwen2.5 VL 72B Instruct: MiniMax M2-her ($0.30), Nano Banana (Gemini 2.5 Flash Image) ($0.30), Mistral Small 3.1 24B ($0.35). Open D1 · Open D2
View the map as a table (2 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDD1 | $0.30–1 | <32K | Gemma 2 27B, GPT-3.5 Turbo |
| GRIDD2 | $0.30–1 | 32–128K | Qwen2.5 VL 72B Instruct, Qwen2.5 Coder 32B Instruct, WizardLM-2 8x22B, Qwen2.5 72B Instruct, Mistral Small 3.1 24B, Nano Banana (Gemini 2.5 Flash Image), MiniMax M2-her |
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 Gemma 2 27B if…
- you pay by the token: it costs $0.65 per 1M input against $0.80
- output dominates your bill: $0.65 per 1M output against $1.00
Choose Qwen2.5 VL 72B Instruct if…
- your prompts are long: it takes 128,000 tokens against 8,192
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 Gemma 2 27B better than Qwen2.5 VL 72B Instruct?
Which is cheaper, Gemma 2 27B or Qwen2.5 VL 72B Instruct?
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
Gemma 2 27B
By Google. $0.65 input and $0.65 output per 1M tokens, 8K context, atlas square D1. Tiers listed: standard.
Full specs & pricing →Qwen2.5 VL 72B Instruct
By Qwen (Alibaba). $0.80 input and $1.00 output per 1M tokens, 128K context, atlas square D2. Tiers listed: standard.
Full specs & pricing →Compare Gemma 2 27B with…
Compare Qwen2.5 VL 72B Instruct with…
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is Gemma 2 27B better than Qwen2.5 VL 72B Instruct?
- Which is cheaper, Gemma 2 27B or Qwen2.5 VL 72B Instruct?
- How much does each cost per 1M tokens?