Colosseum 355B Instruct vs Sarvam 30B
Colosseum 355B Instruct (2025) and Sarvam 30B (2026) are compact production models from iGenius and Sarvam.ai. Colosseum 355B Instruct ships a 16k-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 4x more tokens; pick it for long-context work and Colosseum 355B Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Colosseum 355B Instruct | Sarvam 30B |
|---|---|---|
| Best for | general production evaluation | tool-calling agents |
| Decision fit | General | Agents and JSON / Tool use |
| Context window | 16k | 66k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Colosseum 355B Instruct has broader tracked provider coverage for fallback and route flexibility.
- 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.
Colosseum 355B Instruct
Unavailable
No complete token price in local provider data
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 Colosseum 355B Instruct 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 Colosseum 355B Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2026-03-22 |
| Context window | 16k | 66k |
| Parameters | 355B | 30B (2.4B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Llama 3 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | 2025-06 |
Pricing and availability
| Pricing attribute | Colosseum 355B Instruct | Sarvam 30B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Colosseum 355B Instruct | 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.
Continue comparing
- Colosseum 355B Instruct vs Sarvam-M Multilingual Hybrid
- Colosseum 355B Instruct vs Qwen2-7B-Instruct
- Colosseum 355B vs Sarvam 30B
- Claude Instant vs Sarvam 30B
- GPT-4 Turbo vs Sarvam 30B
- Mistral Nemotron vs Sarvam 30B
- Llama 3.1 NemoGuard 8B Topic Control vs Sarvam 30B
- Llama 2 7B vs Sarvam 30B
- GPT-4 vs Sarvam 30B
- Claude Instant vs Colosseum 355B Instruct
Popular comparisons for Colosseum 355B Instruct
Popular comparisons for Sarvam 30B
Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.