Gemini Robotics-ER 1.5 Preview vs Together AI Qwen2-72B-Instruct
Gemini Robotics-ER 1.5 Preview (2025) and Together AI Qwen2-72B-Instruct (2024) are compact production models from Google DeepMind and Alibaba. Gemini Robotics-ER 1.5 Preview ships a 32k-token context window, while Together AI Qwen2-72B-Instruct ships a 33k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Gemini Robotics-ER 1.5 Preview is safer overall; choose Together AI Qwen2-72B-Instruct when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Gemini Robotics-ER 1.5 Preview | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | general production evaluation |
| Decision fit | Agents, Vision, and JSON / Tool use | Classification and JSON / Tool use |
| Context window | 32k | 33k |
| Cheapest output | - | $0.70/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemini Robotics-ER 1.5 Preview uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Gemini Robotics-ER 1.5 Preview for Agents, Vision, and JSON / Tool use.
- Together AI Qwen2-72B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Together AI Qwen2-72B-Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Together AI Qwen2-72B-Instruct for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini Robotics-ER 1.5 Preview
Unavailable
No complete token price in local provider data
Together AI Qwen2-72B-Instruct
$735
Cheapest tracked route/tier: Together AI
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Gemini Robotics-ER 1.5 Preview and Together AI Qwen2-72B-Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- Together AI Qwen2-72B-Instruct adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Together AI Qwen2-72B-Instruct and Gemini Robotics-ER 1.5 Preview; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- Gemini Robotics-ER 1.5 Preview adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-12 | 2024-06-07 |
| Context window | 32k | 33k |
| Parameters | — | 72B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemini Robotics-ER 1.5 Preview | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Input price | - | $0.70/1M tokens |
| Output price | - | $0.70/1M tokens |
| Providers |
Capabilities
| Capability | Gemini Robotics-ER 1.5 Preview | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Gemini Robotics-ER 1.5 Preview, multimodal input: Gemini Robotics-ER 1.5 Preview, function calling: Gemini Robotics-ER 1.5 Preview, tool use: Gemini Robotics-ER 1.5 Preview, and structured outputs: Together AI Qwen2-72B-Instruct. Both models share the core language-model surface, 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.
Pricing coverage is uneven: Gemini Robotics-ER 1.5 Preview has no token price sourced yet and Together AI Qwen2-72B-Instruct has $0.70/1M input tokens. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemini Robotics-ER 1.5 Preview when vision-heavy evaluation are central to the workload. Choose Together AI Qwen2-72B-Instruct when long-context analysis and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, Gemini Robotics-ER 1.5 Preview or Together AI Qwen2-72B-Instruct?
Together AI Qwen2-72B-Instruct supports 33k tokens, while Gemini Robotics-ER 1.5 Preview supports 32k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemini Robotics-ER 1.5 Preview or Together AI Qwen2-72B-Instruct open source?
Gemini Robotics-ER 1.5 Preview is listed under Proprietary. Together AI Qwen2-72B-Instruct is listed under Apache 2.0. 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 Robotics-ER 1.5 Preview or Together AI Qwen2-72B-Instruct?
Gemini Robotics-ER 1.5 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 Robotics-ER 1.5 Preview or Together AI Qwen2-72B-Instruct?
Gemini Robotics-ER 1.5 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.
Which is better for function calling, Gemini Robotics-ER 1.5 Preview or Together AI Qwen2-72B-Instruct?
Gemini Robotics-ER 1.5 Preview has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemini Robotics-ER 1.5 Preview and Together AI Qwen2-72B-Instruct?
Gemini Robotics-ER 1.5 Preview is available on Google AI Studio. Together AI Qwen2-72B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.