| Signal | Llama 3.1 8B Instruct | Delta | Devstral Medium |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 44 | +1 | |
Pricing | 100 | +2 | |
Context window size | 73 | -- | |
Recency | 10 | -64 | |
Output Capacity | 70 | +50 | |
| Overall Result | 3 wins | of 6 | 1 wins |
Score History
44.1
current score
Devstral Medium
right now
44.9
current score
Meta
Mistral AI
Llama 3.1 8B Instruct saves you $135.50/month
That's $1626.00/year compared to Devstral Medium at your current usage level of 100K calls/month.
| Metric | Llama 3.1 8B Instruct | Devstral Medium | Winner |
|---|---|---|---|
| Overall Score | 44 | 45 | Devstral Medium |
| Rank | #176 | #175 | Devstral Medium |
| Quality Rank | #176 | #175 | Devstral Medium |
| Adoption Rank | #176 | #175 | Devstral Medium |
| Parameters | 8B | -- | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.02/$0.05/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Llama 3.1 8B Instruct |
| Benchmarks | 44 | 43 | Llama 3.1 8B Instruct |
| Pricing | 100 | 98 | Llama 3.1 8B Instruct |
| Context window size | 73 | 73 | Llama 3.1 8B Instruct |
| Recency | 10 | 74 | Devstral Medium |
| Output Capacity | 70 | 20 | Llama 3.1 8B Instruct |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 44/100 (rank #176), placing it in the top 40% of all 290 models tracked.
Scores 45/100 (rank #175), placing it in the top 40% of all 290 models tracked.
With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Llama 3.1 8B Instruct offers 97% better value per quality point. At 1M tokens/day, you'd spend $1.05/month with Llama 3.1 8B Instruct vs $36.00/month with Devstral Medium - a $34.95 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Llama 3.1 8B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.05/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (45/100) correlates with better nuance, coherence, and style in long-form content
Llama 3.1 8B Instruct and Devstral Medium are extremely close in overall performance (only 0.7999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Llama 3.1 8B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.1 8B Instruct
97% lower pricing; better value at scale
Best for Reliability
Llama 3.1 8B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3.1 8B Instruct
Stronger community support and better developer experience
Best for Production
Llama 3.1 8B Instruct
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 3.1 8B Instruct | Devstral Medium |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Mistral AI
Llama 3.1 8B Instruct saves you $3.02/month
That's 97% cheaper than Devstral Medium at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Llama 3.1 8B Instruct | Devstral Medium |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | 16,384 | -- |
| Open Source | Yes | No |
| Created | Jul 23, 2024 | Jul 10, 2025 |