Model comparison · Updated 1 Sep 2026
Llama 3.1 70B Instruct vs Qwen2.5 72B Instruct
Qwen2.5 72B Instruct is about 1.1× cheaper on input ($0.36 against $0.40 per 1M tokens). Llama 3.1 70B Instruct has the larger context window (131K against 33K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $216 a month for Llama 3.1 70B Instruct and $198 for Qwen2.5 72B Instruct.
Cite
Cite this page
ModelsAtlas. “Llama 3.1 70B Instruct vs Qwen2.5 72B Instruct”. Retrieved 1 Sep 2026. https://modelsatlas.com/compare/meta/llama-3-1-70b-instruct/vs/qwen/2-5-72b-instruct
Model A
by Meta · weights not marked open · GRIDD3
$0.40
- Source
- Our catalogue
- Retrieved
- 17 Aug 2026
Model B
by Qwen (Alibaba) · weights not marked open · GRIDD2
$0.36
- Source
- Our catalogue
- Retrieved
- 17 Aug 2026
Key numbers
Standard tier · highlighted = better
What it costs for real workloads
Monthly, standard tier, 30 days
Llama 3.1 70B Instruct Qwen2.5 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 72B Instruct (D2) sits 1 context band smaller than Llama 3.1 70B Instruct (D3).
Same square as Llama 3.1 70B Instruct: Codestral 2508 ($0.30), Command A+ ($0.30), MiniMax M2.1 ($0.30). Same square as Qwen2.5 72B Instruct: MiniMax M2-her ($0.30), Nano Banana (Gemini 2.5 Flash Image) ($0.30), Mistral Small 3.1 24B ($0.35). Open D3 · Open D2
View the map as a table (2 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDD2 | $0.30–1 | 32–128K | Qwen2.5 72B Instruct, Mistral Small 3.1 24B, Nano Banana (Gemini 2.5 Flash Image), MiniMax M2-her, Qwen2.5 Coder 32B Instruct, Qwen2.5 VL 72B Instruct |
| GRIDD3 | $0.30–1 | 128–256K | Llama 3.1 70B Instruct, Mistral Medium 3, Mistral Medium 3.1, R1 0528, Nano Banana 2 (Gemini 3.1 Flash Image), Command A+, Muse Glimmer 30B |
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 Llama 3.1 70B Instruct if…
- your prompts are long: it takes 131,072 tokens against 32,768
Choose Qwen2.5 72B Instruct if…
- you pay by the token: it costs $0.36 per 1M input against $0.40
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 Llama 3.1 70B Instruct better than Qwen2.5 72B Instruct?
Which is cheaper, Llama 3.1 70B Instruct or Qwen2.5 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
Llama 3.1 70B Instruct
By Meta. $0.40 input and $0.40 output per 1M tokens, 131K context, atlas square D3. Tiers listed: standard.
Full specs & pricing →Qwen2.5 72B Instruct
By Qwen (Alibaba). $0.36 input and $0.40 output per 1M tokens, 33K context, atlas square D2. Tiers listed: standard.
Full specs & pricing →Compare Llama 3.1 70B Instruct with…
- Codestral 2508$0.30
- Command A+$0.30
- Devstral 2 2512$0.40
- Mistral Medium 3$0.40
- All alternatives →
Compare Qwen2.5 72B Instruct with…
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is Llama 3.1 70B Instruct better than Qwen2.5 72B Instruct?
- Which is cheaper, Llama 3.1 70B Instruct or Qwen2.5 72B Instruct?
- How much does each cost per 1M tokens?