Gemma 4 26B A4B vs NVIDIA Nemotron 3 Ultra 550B A55B BF16
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemma 4 26B-A4B | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 |
|---|---|---|
| Developer | Google DeepMind | NVIDIA |
| Family | Gemma 4 | Nvidia Nemotron 3 Ultra 550b A55b Bf16 |
| Model | Gemma 4 26B-A4B | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 |
| Version | Gemma 4 26B-A4B | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 |
| Lifecycle | active | active |
| Released | 2026-03-11 | 2026-06-04 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 26B | 560.5B |
| Active parameters | 4B | 55B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard) | Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools |
17 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
Gemma 4 26B A4B Capabilities
NVIDIA Nemotron 3 Ultra 550B A55B BF16 Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Gemma 4 26B A4B vs NVIDIA Nemotron 3 Ultra 550B A55B BF16 FAQs
Is Gemma 4 26B A4B or NVIDIA Nemotron 3 Ultra 550B A55B BF16 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 26B A4B and NVIDIA Nemotron 3 Ultra 550B A55B BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 26B A4B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
Gemma 4 26B A4B is $0.070 and NVIDIA Nemotron 3 Ultra 550B A55B BF16 is $0.50 per million tokens, so Gemma 4 26B A4B is cheaper on this metric. Gemma 4 26B A4B is $0.34 and NVIDIA Nemotron 3 Ultra 550B A55B BF16 is $2.20 per million tokens, so Gemma 4 26B A4B is cheaper on this metric.
Which has a larger context window, Gemma 4 26B A4B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
Neither model has a larger sourced context window in this comparison. Gemma 4 26B A4B is 262K and NVIDIA Nemotron 3 Ultra 550B A55B BF16 is 262K.
Which performs better in benchmarks, Gemma 4 26B A4B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemma 4 26B A4B or NVIDIA Nemotron 3 Ultra 550B A55B BF16 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Gemma 4 26B A4B is open weight; NVIDIA Nemotron 3 Ultra 550B A55B BF16 is open weight.
Can Gemma 4 26B A4B and NVIDIA Nemotron 3 Ultra 550B A55B BF16 understand images?+
Gemma 4 26B A4B is documented with image input; NVIDIA Nemotron 3 Ultra 550B A55B BF16 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 26B A4B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
Neither has a larger sourced maximum output. Gemma 4 26B A4B is — and NVIDIA Nemotron 3 Ultra 550B A55B BF16 is —.
Do Gemma 4 26B A4B and NVIDIA Nemotron 3 Ultra 550B A55B BF16 support reasoning and tool use?+
Gemma 4 26B A4B: reasoning, tool calling, and image input. NVIDIA Nemotron 3 Ultra 550B A55B BF16: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 26B A4B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
Gemma 4 26B A4B has 4 sourced provider routes; NVIDIA Nemotron 3 Ultra 550B A55B BF16 has 3, so Gemma 4 26B A4B has broader tracked availability.
Which offers better value, Gemma 4 26B A4B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.