Gemma 2 9B SahabatAI Instruct vs Llama 3.3 70B
Gemma 2 9B SahabatAI Instruct (2025) and Llama 3.3 70B (2025) are compact production models from GoToCompany and AI at Meta. Both ship a 8k-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.
Llama 3.3 70B is safer overall; choose Gemma 2 9B SahabatAI Instruct when provider fit matters.
Decision scorecard
Local evidence first| Signal | Gemma 2 9B SahabatAI Instruct | Llama 3.3 70B |
|---|---|---|
| Best for | general production evaluation | multimodal apps and tool-calling agents |
| Decision fit | General | Agents, Vision, and Classification |
| Context window | 8k | 8k |
| Cheapest output | - | $0.90/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use Gemma 2 9B SahabatAI Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Llama 3.3 70B uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags Llama 3.3 70B for Agents, Vision, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemma 2 9B SahabatAI Instruct
Unavailable
No complete token price in local provider data
Llama 3.3 70B
$945
Cheapest tracked route/tier: Fireworks AI
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Gemma 2 9B SahabatAI Instruct and Llama 3.3 70B; plan for SDK, billing, or endpoint changes.
- Llama 3.3 70B adds Vision, Multimodal, and JSON / Tool use in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.3 70B and Gemma 2 9B SahabatAI Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2025-12-09 |
| Context window | 8k | 8k |
| Parameters | 9B | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Gemma | Llama 3 Community |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | - | 2024-12 |
Pricing and availability
| Pricing attribute | Gemma 2 9B SahabatAI Instruct | Llama 3.3 70B |
|---|---|---|
| Input price | - | $0.90/1M tokens |
| Output price | - | $0.90/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 2 9B SahabatAI Instruct | Llama 3.3 70B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| JSON / Tool use | No | Yes |
| Structured outputs | No | No |
| 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.
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Last reviewed: 2026-10-05. Data sourced from public model cards and provider documentation.