| Signal | Mistral Small 4 | Delta | Nemotron 3 Super |
|---|---|---|---|
Capabilities | 83 | +17 | |
Pricing | 1 | +0 | |
Context window size | 86 | -- | |
Recency | 100 | -- | |
Output Capacity | 20 | -- | |
| Overall Result | 2 wins | of 5 | 0 wins |
8
days higher
6
days
16
days higher
Mistral AI
NVIDIA
Nemotron 3 Super saves you $10.00/month
That's $120.00/year compared to Mistral Small 4 at your current usage level of 100K calls/month.
| Metric | Mistral Small 4 | Nemotron 3 Super | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #129 | #131 | Mistral Small 4 |
| Quality Rank | #129 | #131 | Mistral Small 4 |
| Adoption Rank | #129 | #131 | Mistral Small 4 |
| Parameters | -- | 120B | -- |
| Context Window | 262K | 262K | -- |
| Pricing | $0.15/$0.60/M | $0.10/$0.50/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Mistral Small 4 |
| Pricing | 1 | 1 | Mistral Small 4 |
| Context window size | 86 | 86 | Mistral Small 4 |
| Recency | 100 | 100 | Mistral Small 4 |
| Output Capacity | 20 | 20 | Mistral Small 4 |
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%). Here's what the scores mean for these two models:
Scores 40/100 (rank #129), placing it in the top 56% of all 290 models tracked.
Scores 40/100 (rank #131), placing it in the top 55% of all 290 models tracked.
With only a 0-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 3 Super offers 20% better value per quality point. At 1M tokens/day, you'd spend $9.00/month with Nemotron 3 Super vs $11.25/month with Mistral Small 4 - a $2.25 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 3 Super also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.50/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
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Mistral Small 4 and Nemotron 3 Super are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Mistral Small 4
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron 3 Super
20% lower pricing; better value at scale
Best for Reliability
Mistral Small 4
Higher uptime and faster response speeds
Best for Prototyping
Mistral Small 4
Stronger community support and better developer experience
Best for Production
Mistral Small 4
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Small 4 | Nemotron 3 Super |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
NVIDIA
Nemotron 3 Super saves you $0.2100/month
That's 21% cheaper than Mistral Small 4 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 Small 4 | Nemotron 3 Super |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | -- | -- |
| Open Source | Yes | Yes |
| Created | Mar 16, 2026 | Mar 11, 2026 |
Both Mistral Small 4 and Nemotron 3 Super score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Mistral Small 4 is ranked #129 and Nemotron 3 Super is ranked #131 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Nemotron 3 Super is cheaper at $0.50/M output tokens vs Mistral Small 4's $0.60/M output tokens - 1.2x more expensive. Input token pricing: Mistral Small 4 at $0.15/M vs Nemotron 3 Super at $0.10/M.
Mistral Small 4 has a larger context window of 262,144 tokens compared to Nemotron 3 Super's 262,144 tokens. A larger context window means the model can process longer documents and conversations.