| Signal | Mistral Medium 3.1 | Delta | Nemotron Nano 9B V2 |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 2 | +2 | |
Context window size | 81 | -- | |
Recency | 94 | -4 | |
Output Capacity | 20 | -- | |
| Overall Result | 1 wins | of 5 | 1 wins |
7
days ranked higher
1
days
22
days ranked higher
Mistral AI
NVIDIA
Nemotron Nano 9B V2 saves you $128.00/month
That's $1536.00/year compared to Mistral Medium 3.1 at your current usage level of 100K calls/month.
| Metric | Mistral Medium 3.1 | Nemotron Nano 9B V2 | Winner |
|---|---|---|---|
| Overall Score | 68 | 69 | Nemotron Nano 9B V2 |
| Rank | #152 | #147 | Nemotron Nano 9B V2 |
| Quality Rank | #152 | #147 | Nemotron Nano 9B V2 |
| Adoption Rank | #152 | #147 | Nemotron Nano 9B V2 |
| Parameters | -- | 9B | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.40/$2.00/M | $0.04/$0.16/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Mistral Medium 3.1 |
| Pricing | 2 | 0 | Mistral Medium 3.1 |
| Context window size | 81 | 81 | Mistral Medium 3.1 |
| Recency | 94 | 98 | Nemotron Nano 9B V2 |
| Output Capacity | 20 | 20 | Mistral Medium 3.1 |
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 68/100 (rank #152), placing it in the top 48% of all 290 models tracked.
Scores 69/100 (rank #147), placing it in the top 50% 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.
Nemotron Nano 9B V2 offers 92% better value per quality point. At 1M tokens/day, you'd spend $3.00/month with Nemotron Nano 9B V2 vs $36.00/month with Mistral Medium 3.1 — a $33.00 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. Nemotron Nano 9B V2 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 ($0.16/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (69/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input — can analyze screenshots, diagrams, photos, and scanned documents directly
Mistral Medium 3.1 and Nemotron Nano 9B V2 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 Medium 3.1
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron Nano 9B V2
92% lower pricing; better value at scale
Best for Reliability
Mistral Medium 3.1
Higher uptime and faster response speeds
Best for Prototyping
Mistral Medium 3.1
Stronger community support and better developer experience
Best for Production
Mistral Medium 3.1
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Medium 3.1 | Nemotron Nano 9B V2 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral AI
NVIDIA
Nemotron Nano 9B V2 saves you $2.86/month
That's 92% cheaper than Mistral Medium 3.1 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 Medium 3.1 | Nemotron Nano 9B V2 |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | -- | -- |
| Open Source | No | Yes |
| Created | Aug 13, 2025 | Sep 5, 2025 |
Nemotron Nano 9B V2 scores 69/100 (rank #147) compared to Mistral Medium 3.1's 68/100 (rank #152), giving it a 1-point advantage. Nemotron Nano 9B V2 is the stronger overall choice, though Mistral Medium 3.1 may excel in specific areas like certain benchmarks.
Mistral Medium 3.1 is ranked #152 and Nemotron Nano 9B V2 is ranked #147 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.
Nemotron Nano 9B V2 is cheaper at $0.16/M output tokens vs Mistral Medium 3.1's $2.00/M output tokens — 12.5x more expensive. Input token pricing: Mistral Medium 3.1 at $0.40/M vs Nemotron Nano 9B V2 at $0.04/M.
Mistral Medium 3.1 has a larger context window of 131,072 tokens compared to Nemotron Nano 9B V2's 131,072 tokens. A larger context window means the model can process longer documents and conversations.