Gemini 3.1 Pro Preview vs Nemotron 3 Super-120B-A12B
Gemini 3.1 Pro Preview (2026) and Nemotron 3 Super-120B-A12B (2026) are general-purpose language models from Google DeepMind and NVIDIA AI. Gemini 3.1 Pro Preview ships a 1m-token context window, while Nemotron 3 Super-120B-A12B ships a 1.05m-token context window. On MMLU PRO, Gemini 3.1 Pro Preview leads by 7.4 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Nemotron 3 Super-120B-A12B is safer overall; choose Gemini 3.1 Pro Preview when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Gemini 3.1 Pro Preview | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | long-context analysis and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 1.05m |
| Cheapest output | $12/1M tokens | $0.45/1M tokens |
| Provider routes | 5 tracked | 6 tracked |
| Shared benchmarks | MMLU PRO leader | 6 shared |
Decision tradeoffs
- Gemini 3.1 Pro Preview holds a shared-benchmark lead on MMLU PRO, ahead by 7.4 points.
- Gemini 3.1 Pro Preview uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Gemini 3.1 Pro Preview for Coding, RAG, and Agents.
- Nemotron 3 Super-120B-A12B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nemotron 3 Super-120B-A12B has the lower cheapest tracked output price at $0.45/1M tokens.
- Nemotron 3 Super-120B-A12B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Nemotron 3 Super-120B-A12B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 3.1 Pro Preview
$4,600
Cheapest tracked route/tier: Google AI Studio
Nemotron 3 Super-120B-A12B
$185
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $4,416. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Nemotron 3 Super-120B-A12B is $11.55/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Gemini 3.1 Pro Preview is $11.55/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 3.1 Pro Preview adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-19 | 2026-03-11 |
| Context window | 1m | 1.05m |
| Parameters | — | 120B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | NVIDIA Open Model |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemini 3.1 Pro Preview | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Input price |
| $0.09/1M tokens |
| Output price |
| $0.45/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 3.1 Pro Preview | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 3.1 Pro Preview | Nemotron 3 Super-120B-A12B |
|---|---|---|
| MMLU PRO | 91.0 | 83.6 |
| SWE-bench Verified | 80.6 | 60.5 |
| Google-Proof Q&A | 94.3 | 80.0 |
| AIME 2025 | 95.0 | 90.2 |
| LiveCodeBench | 91.7 | 78.4 |
| τ-bench | 76.5 | 61.1 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemini 3.1 Pro Preview at 91.0 and Nemotron 3 Super-120B-A12B at 83.6, with Gemini 3.1 Pro Preview ahead by 7.4 points; SWE-bench Verified has Gemini 3.1 Pro Preview at 80.6 and Nemotron 3 Super-120B-A12B at 60.5, with Gemini 3.1 Pro Preview ahead by 20.1 points; Google-Proof Q&A has Gemini 3.1 Pro Preview at 94.3 and Nemotron 3 Super-120B-A12B at 80, with Gemini 3.1 Pro Preview ahead by 14.3 points. The largest visible gap is 20.1 points on SWE-bench Verified, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Gemini 3.1 Pro Preview, multimodal input: Gemini 3.1 Pro Preview, function calling: Gemini 3.1 Pro Preview, tool use: Gemini 3.1 Pro Preview, and code execution: Gemini 3.1 Pro Preview. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Gemini 3.1 Pro Preview lists tiered pricing: 0-200,001t is $2/1M input and $12/1M output; 200,001t+ is $4/1M input and $18/1M output, while Nemotron 3 Super-120B-A12B lists $0.09/1M input and $0.45/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Nemotron 3 Super-120B-A12B lower by about $4.80 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 5 providers versus 6, so concentration risk also matters.
Choose Gemini 3.1 Pro Preview when coding workflow support are central to the workload. Choose Nemotron 3 Super-120B-A12B when long-context analysis, larger context windows, and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Gemini 3.1 Pro Preview or Nemotron 3 Super-120B-A12B?
Nemotron 3 Super-120B-A12B supports 1.05m tokens, while Gemini 3.1 Pro Preview supports 1m tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemini 3.1 Pro Preview or Nemotron 3 Super-120B-A12B?
Gemini 3.1 Pro Preview lists tiered pricing: 0-200,001t is $2/1M input and $12/1M output; 200,001t+ is $4/1M input and $18/1M output. Nemotron 3 Super-120B-A12B lists $0.09/1M input and $0.45/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is Gemini 3.1 Pro Preview or Nemotron 3 Super-120B-A12B open source?
Gemini 3.1 Pro Preview is listed under Proprietary. Nemotron 3 Super-120B-A12B is listed under NVIDIA Open Model. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Gemini 3.1 Pro Preview or Nemotron 3 Super-120B-A12B?
Gemini 3.1 Pro Preview has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Gemini 3.1 Pro Preview or Nemotron 3 Super-120B-A12B?
Gemini 3.1 Pro Preview has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemini 3.1 Pro Preview and Nemotron 3 Super-120B-A12B?
Gemini 3.1 Pro Preview is available on Google AI Studio, GCP Vertex AI, OpenRouter, Replicate API, and Vercel AI Gateway. Nemotron 3 Super-120B-A12B is available on Cloudflare Workers AI, DeepInfra, NVIDIA NIM, OpenRouter, and Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-19. Data sourced from public model cards and provider documentation.