Llama 2 7B vs Sarvam 30B
Llama 2 7B (2023) and Sarvam 30B (2026) are compact production models from AI at Meta and Sarvam.ai. Llama 2 7B 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 7B for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 2 7B | Sarvam 30B |
|---|---|---|
| Best for | general production evaluation | tool-calling agents |
| Decision fit | Coding and Classification | Agents and JSON / Tool use |
| Context window | 4k | 66k |
| Cheapest output | $0.20/1M tokens | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 2 7B has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 2 7B for Coding and Classification.
- 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 7B
$210
Cheapest tracked route/tier: Fireworks AI
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 7B and Sarvam 30B; plan for SDK, billing, or endpoint changes.
- Sarvam 30B adds JSON / Tool use in local capability data.
- No overlapping tracked provider route is sourced for Sarvam 30B and Llama 2 7B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2026-03-22 |
| Context window | 4k | 66k |
| Parameters | 7B | 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 | 2022-09 | 2025-06 |
Pricing and availability
| Pricing attribute | Llama 2 7B | Sarvam 30B |
|---|---|---|
| Input price | $0.20/1M tokens | - |
| Output price | $0.20/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Llama 2 7B | Sarvam 30B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| 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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Popular comparisons for Llama 2 7B
Popular comparisons for Sarvam 30B
Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.