Llama 2 70B Chat vs Sarvam 30B
Llama 2 70B Chat (2023) and Sarvam 30B (2026) are compact production models from AI at Meta and Sarvam.ai. Llama 2 70B Chat ships a 4k-token context window, while Sarvam 30B ships a 66k-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.
Sarvam 30B fits 16x more tokens; pick it for long-context work and Llama 2 70B Chat for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 2 70B Chat | Sarvam 30B |
|---|---|---|
| Best for | provider-routed production | tool-calling agents |
| Decision fit | Classification and JSON / Tool use | Agents and JSON / Tool use |
| Context window | 4k | 66k |
| Cheapest output | $1.50/1M tokens | - |
| Provider routes | 14 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 2 70B Chat has broader tracked provider coverage for fallback and route flexibility.
- Llama 2 70B Chat uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 2 70B Chat for Classification and JSON / Tool use.
- Sarvam 30B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Sarvam 30B uniquely exposes JSON / Tool use in local model data.
- Local decision data tags Sarvam 30B for Agents and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 2 70B Chat
$775
Cheapest tracked route/tier: Databricks Foundation Model Serving
Sarvam 30B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Llama 2 70B Chat and Sarvam 30B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- Sarvam 30B adds JSON / Tool use in local capability data.
- No overlapping tracked provider route is sourced for Sarvam 30B and Llama 2 70B Chat; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use before moving production traffic.
- Llama 2 70B Chat adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2026-03-22 |
| Context window | 4k | 66k |
| Parameters | 70B | 30B (2.4B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Llama 2 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Available | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | 2025-06 |
Pricing and availability
| Pricing attribute | Llama 2 70B Chat | Sarvam 30B |
|---|---|---|
| Input price | $0.50/1M tokens | - |
| Output price | $1.50/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Llama 2 70B Chat | Sarvam 30B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | 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: 2026-07-09. Data sourced from public model cards and provider documentation.