Model comparison · Updated 10 Oct 2026
Llama 3.1 70B Instruct vs Codestral 2508
Codestral 2508 is about 1.3× cheaper on input ($0.30 against $0.40 per 1M tokens), though Llama 3.1 70B Instruct is cheaper on output. Codestral 2508 has the larger context window (256K against 131K 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 $216 for Codestral 2508.
Cite
Cite this page
ModelsAtlas. “Llama 3.1 70B Instruct vs Codestral 2508”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/meta/llama-3-1-70b-instruct/vs/mistralai/codestral
Model A
by Meta · weights not marked open · GRIDD3
$0.40
- Source
- Our catalogue
- Retrieved
- 17 Aug 2026
Model B
by Mistral AI · weights not marked open · GRIDD3
$0.30
- 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 Codestral 2508 · 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. Llama 3.1 70B Instruct and Codestral 2508 share D3.
Same square as Llama 3.1 70B Instruct: Command A+ ($0.30), MiniMax M2 ($0.30), MiniMax M2.1 ($0.30). Open D3
View the map as a table (1 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDD3 | $0.30–1 | 128–256K | Llama 3.1 70B Instruct, Codestral 2508, Mistral Medium 3, Mistral Medium 3.1, Nano Banana 2 (Gemini 3.1 Flash Image), DeepSeek V3, Command A+, Muse Glimmer 30B, MiniMax M2, MiniMax M2.1 |
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…
- output dominates your bill: $0.40 per 1M output against $0.90
Choose Codestral 2508 if…
- you pay by the token: it costs $0.30 per 1M input against $0.40
- your prompts are long: it takes 256,000 tokens against 131,072
- work can wait: it lists a batch tier and the other does not
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 Codestral 2508?
Which is cheaper, Llama 3.1 70B Instruct or Codestral 2508?
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 →Codestral 2508
By Mistral AI. $0.30 input and $0.90 output per 1M tokens, 256K context, atlas square D3. Tiers listed: batch, standard.
Full specs & pricing →Compare Llama 3.1 70B Instruct with…
- Command A+$0.30
- DeepSeek V3$0.32
- Devstral 2 2512$0.40
- Mistral Medium 3$0.40
- All alternatives →
Compare Codestral 2508 with…
- Command A+$0.30
- Muse Glimmer 30B$0.30
- MiniMax M2$0.30
- MiniMax M2.1$0.30
- All alternatives →
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 Codestral 2508?
- Which is cheaper, Llama 3.1 70B Instruct or Codestral 2508?
- How much does each cost per 1M tokens?