| Signal | Mistral Large 2411 | Delta | Mistral Nemo |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 6 | +6 | |
Context window size | 81 | -- | |
Recency | 43 | +22 | |
Output Capacity | 20 | -50 | |
| Overall Result | 2 wins | of 5 | 1 wins |
7
days higher
3
days
20
days higher
Mistral AI
Mistral AI
Mistral Nemo saves you $496.00/month
That's $5952.00/year compared to Mistral Large 2411 at your current usage level of 100K calls/month.
| Metric | Mistral Large 2411 | Mistral Nemo | Winner |
|---|---|---|---|
| Overall Score | 50 | 50 | Mistral Nemo |
| Rank | #272 | #271 | Mistral Nemo |
| Quality Rank | #272 | #271 | Mistral Nemo |
| Adoption Rank | #272 | #271 | Mistral Nemo |
| Parameters | -- | -- | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $2.00/$6.00/M | $0.02/$0.04/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Mistral Large 2411 |
| Pricing | 6 | 0 | Mistral Large 2411 |
| Context window size | 81 | 81 | Mistral Large 2411 |
| Recency | 43 | 20 | Mistral Large 2411 |
| Output Capacity | 20 | 70 | Mistral Nemo |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 50/100 (rank #272), placing it in the top 7% of all 290 models tracked.
Scores 50/100 (rank #271), placing it in the top 7% 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.
Mistral Nemo offers 99% better value per quality point. At 1M tokens/day, you'd spend $0.90/month with Mistral Nemo vs $120.00/month with Mistral Large 2411 - a $119.10 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. 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 ($0.04/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (50/100) correlates with better nuance, coherence, and style in long-form content
Mistral Large 2411 and Mistral Nemo 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
Mistral Large 2411
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Nemo
99% lower pricing; better value at scale
Best for Reliability
Mistral Large 2411
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large 2411
Stronger community support and better developer experience
Best for Production
Mistral Large 2411
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Large 2411 | Mistral Nemo |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Mistral AI
Mistral Nemo saves you $10.72/month
That's 99% cheaper than Mistral Large 2411 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 | Mistral Large 2411 | Mistral Nemo |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | -- | 16,384 |
| Open Source | No | Yes |
| Created | Nov 19, 2024 | Jul 19, 2024 |
Mistral Nemo scores 50/100 (rank #271) compared to Mistral Large 2411's 50/100 (rank #272), giving it a 1-point advantage. Mistral Nemo is the stronger overall choice, though Mistral Large 2411 may excel in specific areas like certain benchmarks.
Mistral Large 2411 is ranked #272 and Mistral Nemo is ranked #271 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Mistral Nemo is cheaper at $0.04/M output tokens vs Mistral Large 2411's $6.00/M output tokens - 150.0x more expensive. Input token pricing: Mistral Large 2411 at $2.00/M vs Mistral Nemo at $0.02/M.
Mistral Large 2411 has a larger context window of 131,072 tokens compared to Mistral Nemo's 131,072 tokens. A larger context window means the model can process longer documents and conversations.