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Devstral 2 vs Llama 3.1 8B

Devstral 2 vs Llama 3.1 8B: Llama 3.1 8B is cheaper for input-heavy usage ($0.18/M vs $0.40/M input tokens), while Devstral 2 is better for long-context tasks (262,144 tokens).

Direct answer: choose Llama 3.1 8B for lower token spend and choose Devstral 2 when your workload needs longer context.

Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.

Mistral AI
Devstral 2
vs
Meta (via Together AI)
Llama 3.1 8B

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 8B

Per Request:$0.000270
Daily:$0.027
Monthly:$0.81
Yearly:$9.855

Cost Differences

$0.001130
Per Request
$0.113
Daily
$3.39
Monthly
$41.245
Yearly

Llama 3.1 8B costs less than Devstral 2

Feature Comparison

FeatureDevstral 2Llama 3.1 8B
ProviderMistral AIMeta (via Together AI)
Input Price$0.40/1M tokens$0.18/1M tokens
Output Price$2.00/1M tokens$0.18/1M tokens
Context Window262,144 tokens128,000 tokens
Max Output32,768 tokens32,768 tokens
Categoryefficientefficient
Capabilities
textcode
textcode
Release Date12/9/20257/23/2024

Devstral 2 vs Llama 3.1 8B: Which Should You Choose?

Choosing between Devstral 2 and Llama 3.1 8B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 8B is the more affordable option at $0.18/1M input tokens55% cheaper than Devstral 2. Meanwhile, Devstral 2 offers a significantly larger context window at 262,144 tokens vs 128,000 for Llama 3.1 8B.

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.

Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Llama 3.1 8B would save you roughly $339.00/month compared to Devstral 2. For startups and indie developers, that difference can be significant.

Output costs matter too. Devstral 2 charges $2.00/1M output tokens vs $0.18 for Llama 3.1 8B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 8B has the edge here at $0.18/1M output tokens.

Best Use Cases

Choose Devstral 2 when:

  • • 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 8B when:

  • • Budget is a primary concern
  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Pros and Caveats at a Glance

Devstral 2

  • Input pricing: $0.40/M tokens
  • Output pricing: $2.00/M tokens
  • Context window: 262,144 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than Llama 3.1 8B
  • Higher output cost than Llama 3.1 8B

Llama 3.1 8B

  • Input pricing: $0.18/M tokens
  • Output pricing: $0.18/M tokens
  • Context window: 128,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Smaller context window than Devstral 2

Try Different Scenarios

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

Devstral 2 (Mistral AI)

Llama 3.1 8B (Meta (via Together AI))

Start using Devstral 2 today

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Start using Llama 3.1 8B today

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Frequently Asked Questions

Which is cheaper, Devstral 2 or Llama 3.1 8B?
Llama 3.1 8B is cheaper for input tokens at $0.18 per million tokens vs $0.40 for Devstral 2 — that's 55% savings on input costs.
What is the context window difference between Devstral 2 and Llama 3.1 8B?
Devstral 2 supports 262,144 tokens while Llama 3.1 8B 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 8B is the lower-cost option, while Devstral 2 offers a larger context window (262,144 vs 128,000 tokens). Choose Llama 3.1 8B 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 8B costs about $0.81/month. Overall, Llama 3.1 8B has lower combined input + output rates ($0.18 in, $0.18 out) vs Devstral 2.
Where can I compare Mistral AI and Meta (via Together AI) API pricing beyond this model matchup?
See the Mistral AI vs Meta (via Together AI) provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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