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Devstral 2 vs Llama 3.1 70B

Compare Mistral AI and Meta (via Together AI) AI models

Mistral AI
Devstral 2
vs
Meta (via Together AI)
Llama 3.1 70B

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Devstral 2

Per Request:$0.001400
Daily:$0.14
Monthly:$4.20
Yearly:$51.10

Llama 3.1 70B

Per Request:$0.001320
Daily:$0.132
Monthly:$3.96
Yearly:$48.18

Cost Differences

$0.000080
Per Request
$0.008000
Daily
$0.24
Monthly
$2.92
Yearly

Llama 3.1 70B costs less than Devstral 2

Feature Comparison

FeatureDevstral 2Llama 3.1 70B
ProviderMistral AIMeta (via Together AI)
Input Price$0.40/1M tokens$0.88/1M tokens
Output Price$2.00/1M tokens$0.88/1M tokens
Context Window262,144 tokens128,000 tokens
Max Output32,768 tokens32,768 tokens
Categoryefficientbalanced
Capabilities
textcode
textcode
Release Date12/9/20257/23/2024

Devstral 2 vs Llama 3.1 70B: Which Should You Choose?

Choosing between Devstral 2 and Llama 3.1 70B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 70B is the more affordable option at $0.88/1M input tokens. Meanwhile, Devstral 2 offers a significantly larger context window at 262,144 tokens vs 128,000 for Llama 3.1 70B.

These models come from different providers — Mistral AI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Devstral 2 is a efficient model while Llama 3.1 70B is balanced. This means they're optimized for different workloads. Llama 3.1 70B targets more demanding workloads, while Devstral 2 provides a cost-effective option for everyday tasks.

Output costs matter too. Devstral 2 charges $2.00/1M output tokens vs $0.88 for Llama 3.1 70B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 70B has the edge here at $0.88/1M output tokens.

Best Use Cases

Choose Devstral 2 when:

  • • Budget is a primary concern
  • • You need a larger context window (262,144 tokens)
  • • You're already using Mistral AI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Llama 3.1 70B when:

  • • You're already using Meta (via Together AI)'s API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Devstral 2 (Mistral AI)

Llama 3.1 70B (Meta (via Together AI))

Start using Devstral 2 today

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Start using Llama 3.1 70B today

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Frequently Asked Questions

Which is cheaper, Devstral 2 or Llama 3.1 70B?
Llama 3.1 70B is cheaper for input tokens at $0.88 per million tokens vs $0.40 for Devstral 2.
What is the context window difference between Devstral 2 and Llama 3.1 70B?
Devstral 2 supports 262,144 tokens while Llama 3.1 70B supports 128,000 tokens — a difference of 134,144 tokens in favor of Devstral 2.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 3.1 70B is the lower-cost option, while Devstral 2 offers a larger context window (262,144 vs 128,000 tokens). Choose Llama 3.1 70B for budget sensitivity or Devstral 2 for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Devstral 2 costs about $4.20/month and Llama 3.1 70B costs about $3.96/month. Overall, Llama 3.1 70B has lower combined input + output rates ($0.88 in, $0.88 out) vs Devstral 2.

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