| Signal | Gemma 4 26B A4B | Delta | Nemotron 3 Super (free) |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 72 | +72 | |
Pricing | 100 | 0 | |
Context window size | 86 | -- | |
Recency | 100 | -- | |
Output Capacity | 90 | -- | |
| Overall Result | 2 wins | of 6 | 1 wins |
30
days higher
0
days
0
days higher
NVIDIA
Nemotron 3 Super (free) saves you $33.00/month
That's $396.00/year compared to Gemma 4 26B A4B at your current usage level of 100K calls/month.
| Metric | Gemma 4 26B A4B | Nemotron 3 Super (free) | Winner |
|---|---|---|---|
| Overall Score | 73 | 40 | Gemma 4 26B A4B |
| Rank | #45 | #133 | Gemma 4 26B A4B |
| Quality Rank | #45 | #133 | Gemma 4 26B A4B |
| Adoption Rank | #45 | #133 | Gemma 4 26B A4B |
| Parameters | 26B | 120B | -- |
| Context Window | 262K | 262K | -- |
| Pricing | $0.13/$0.40/M | Free | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Gemma 4 26B A4B |
| Benchmarks | 72 | -- | Gemma 4 26B A4B |
| Pricing | 100 | 100 | Nemotron 3 Super (free) |
| Context window size | 86 | 86 | Gemma 4 26B A4B |
| Recency | 100 | 100 | Gemma 4 26B A4B |
| Output Capacity | 90 | 90 | Gemma 4 26B A4B |
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 73/100 (rank #45), placing it in the top 85% of all 290 models tracked.
Scores 40/100 (rank #133), placing it in the top 54% of all 290 models tracked.
Gemma 4 26B A4B has a 33-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 (free) 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 ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (73/100) 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
Gemma 4 26B A4B clearly outperforms Nemotron 3 Super (free) with a significant 33.400000000000006-point lead. For most general use cases, Gemma 4 26B A4B is the stronger choice. However, Nemotron 3 Super (free) may still excel in niche scenarios.
Best for Quality
Gemma 4 26B A4B
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron 3 Super (free)
100% lower pricing; better value at scale
Best for Reliability
Gemma 4 26B A4B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 4 26B A4B
Stronger community support and better developer experience
Best for Production
Gemma 4 26B A4B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 4 26B A4B | Nemotron 3 Super (free) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
NVIDIA
Nemotron 3 Super (free) saves you $0.7140/month
That's 100% cheaper than Gemma 4 26B A4B 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 | Gemma 4 26B A4B | Nemotron 3 Super (free) |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | 262,144 | 262,144 |
| Open Source | Yes | Yes |
| Created | Apr 3, 2026 | Mar 11, 2026 |
Gemma 4 26B A4B scores 73/100 (rank #45) compared to Nemotron 3 Super (free)'s 40/100 (rank #133), giving it a 33-point advantage. Gemma 4 26B A4B is the stronger overall choice, though Nemotron 3 Super (free) may excel in specific areas like cost efficiency.
Gemma 4 26B A4B is ranked #45 and Nemotron 3 Super (free) is ranked #133 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 (free) is cheaper at $0.00/M output tokens vs Gemma 4 26B A4B 's $0.40/M output tokens - 400.0x more expensive. Input token pricing: Gemma 4 26B A4B at $0.13/M vs Nemotron 3 Super (free) at $0.00/M.
Gemma 4 26B A4B has a larger context window of 262,144 tokens compared to Nemotron 3 Super (free)'s 262,144 tokens. A larger context window means the model can process longer documents and conversations.