| Signal | Llama 3 8B Instruct | Delta | Mistral Nemo |
|---|---|---|---|
Capabilities | 33 | -17 | |
Benchmarks | 32 | +32 | |
Pricing | 100 | 0 | |
Context window size | 56 | -17 | |
Recency | 0 | -4 | |
Output Capacity | 20 | -- | |
| Overall Result | 1 wins | of 6 | 4 wins |
Score History
34.2
current score
Mistral Nemo
right now
39.9
current score
Meta
Mistral AI
Mistral Nemo saves you $17.50/month
That's $210.00/year compared to Llama 3 8B Instruct at your current usage level of 100K calls/month.
| Metric | Llama 3 8B Instruct | Mistral Nemo | Winner |
|---|---|---|---|
| Overall Score | 34 | 40 | Mistral Nemo |
| Rank | #304 | #296 | Mistral Nemo |
| Quality Rank | #304 | #296 | Mistral Nemo |
| Adoption Rank | #304 | #296 | Mistral Nemo |
| Parameters | 8B | -- | -- |
| Context Window | 8K | 131K | Mistral Nemo |
| Pricing | $0.14/$0.14/M | $0.02/$0.03/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 50 | Mistral Nemo |
| Benchmarks | 32 | -- | Llama 3 8B Instruct |
| Pricing | 100 | 100 | Mistral Nemo |
| Context window size | 56 | 73 | Mistral Nemo |
| Recency | 0 | 5 | Mistral Nemo |
| Output Capacity | 20 | 20 | Llama 3 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 34/100 (rank #304), placing it in the top -4% of all 290 models tracked.
Scores 40/100 (rank #296), placing it in the top -2% of all 290 models tracked.
Mistral Nemo has a 6-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Mistral Nemo offers 82% better value per quality point. At 1M tokens/day, you'd spend $0.75/month with Mistral Nemo vs $4.20/month with Llama 3 8B Instruct - a $3.45 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. Mistral Nemo 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 ($0.03/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
Mistral Nemo has a moderate advantage with a 5.699999999999996-point lead in composite score. It wins on more signal dimensions, but Llama 3 8B Instruct has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Llama 3 8B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Nemo
82% lower pricing; better value at scale
Best for Reliability
Llama 3 8B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3 8B Instruct
Stronger community support and better developer experience
Best for Production
Llama 3 8B Instruct
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 3 8B Instruct | Mistral Nemo |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Mistral AI
Mistral Nemo saves you $0.3480/month
That's 83% cheaper than Llama 3 8B Instruct 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 8B Instruct | Mistral Nemo |
|---|---|---|
| Context Window | 8K | 131K |
| Max Output Tokens | -- | -- |
| Open Source | Yes | Yes |
| Created | Apr 18, 2024 | Jul 19, 2024 |