Gemini 1.5 Pro vs Nemotron 3 Super-120B-A12B
Gemini 1.5 Pro (2024) and Nemotron 3 Super-120B-A12B (2026) are general-purpose language models from Google DeepMind and NVIDIA AI. Gemini 1.5 Pro ships a 2m-token context window, while Nemotron 3 Super-120B-A12B ships a 1.05m-token context window. On MMLU PRO, Nemotron 3 Super-120B-A12B leads by 14.6 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 ~1289% cheaper at $0.09/1M; pay for Gemini 1.5 Pro only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Gemini 1.5 Pro | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Best for | long-context analysis and provider-routed production | long-context analysis and provider-routed production |
| Decision fit | RAG, Long context, and Vision | Coding, RAG, and Agents |
| Context window | 2m | 1.05m |
| Cheapest output | $5/1M tokens | $0.45/1M tokens |
| Provider routes | 2 tracked | 6 tracked |
| Shared benchmarks | 1 shared | MMLU PRO leader |
Decision tradeoffs
- Gemini 1.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Gemini 1.5 Pro for RAG, Long context, and Vision.
- Nemotron 3 Super-120B-A12B holds a shared-benchmark lead on MMLU PRO, ahead by 14.6 points.
- 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 1.5 Pro
$2,250
Cheapest tracked route/tier: GCP Vertex AI
Nemotron 3 Super-120B-A12B
$185
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $2,066. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Gemini 1.5 Pro and Nemotron 3 Super-120B-A12B; plan for SDK, billing, or endpoint changes.
- Nemotron 3 Super-120B-A12B is $4.55/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- No overlapping tracked provider route is sourced for Nemotron 3 Super-120B-A12B and Gemini 1.5 Pro; plan for SDK, billing, or endpoint changes.
- Gemini 1.5 Pro is $4.55/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-02-15 | 2026-03-11 |
| Context window | 2m | 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 | 2023-11 | - |
Pricing and availability
| Pricing attribute | Gemini 1.5 Pro | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Input price | $1.25/1M tokens | $0.09/1M tokens |
| Output price | $5/1M tokens | $0.45/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 1.5 Pro | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 1.5 Pro | Nemotron 3 Super-120B-A12B |
|---|---|---|
| MMLU PRO | 69.0 | 83.6 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemini 1.5 Pro at 69.0 and Nemotron 3 Super-120B-A12B at 83.6, with Nemotron 3 Super-120B-A12B ahead by 14.6 points. The largest visible gap is 14.6 points on MMLU PRO, 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 is close: both models cover structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Gemini 1.5 Pro lists $1.25/1M input and $5/1M output tokens on the cheapest tracked provider, 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 $2.18 per million blended tokens. Availability is 2 providers versus 6, so concentration risk also matters.
Choose Gemini 1.5 Pro when long-context analysis and larger context windows are central to the workload. Choose Nemotron 3 Super-120B-A12B when provider fit, lower input-token cost, and broader provider choice 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 1.5 Pro or Nemotron 3 Super-120B-A12B?
Gemini 1.5 Pro supports 2m tokens, while Nemotron 3 Super-120B-A12B supports 1.05m 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 1.5 Pro or Nemotron 3 Super-120B-A12B?
Nemotron 3 Super-120B-A12B is cheaper on tracked token pricing. Gemini 1.5 Pro costs $1.25/1M input and $5/1M output tokens. Nemotron 3 Super-120B-A12B costs $0.09/1M input and $0.45/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 1.5 Pro or Nemotron 3 Super-120B-A12B open source?
Gemini 1.5 Pro 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 structured outputs, Gemini 1.5 Pro or Nemotron 3 Super-120B-A12B?
Both Gemini 1.5 Pro and Nemotron 3 Super-120B-A12B expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Gemini 1.5 Pro and Nemotron 3 Super-120B-A12B?
Gemini 1.5 Pro is available on GCP Vertex AI and Google AI Studio. 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.
When should I pick Gemini 1.5 Pro over Nemotron 3 Super-120B-A12B?
Nemotron 3 Super-120B-A12B is ~1289% cheaper at $0.09/1M; pay for Gemini 1.5 Pro only for long-context analysis. If your workload also depends on long-context analysis, start with Gemini 1.5 Pro; if it depends on provider fit, run the same evaluation with Nemotron 3 Super-120B-A12B.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.