Doubao Pro 256K vs Sarvam 30B
Doubao Pro 256K (2024) and Sarvam 30B (2026) are compact production models from ByteDance and Sarvam.ai. Doubao Pro 256K ships a 256K-token context window, while Sarvam 30B ships a 65.5k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Sarvam 30B is safer overall; choose Doubao Pro 256K when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Doubao Pro 256K | Sarvam 30B |
|---|---|---|
| Decision fit | Long context | Agents and JSON / Tool use |
| Context window | 256K | 65.5k |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Doubao Pro 256K has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Doubao Pro 256K for Long context.
- Sarvam 30B uniquely exposes Function calling and 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 prices on this page.
Doubao Pro 256K
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 Doubao Pro 256K and Sarvam 30B; plan for SDK, billing, or endpoint changes.
- Sarvam 30B adds Function calling and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Sarvam 30B and Doubao Pro 256K; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-05-15 | 2026-03-22 |
| Context window | 256K | 65.5k |
| Parameters | — | 30B (2.4B active) |
| Architecture | decoder only | moe |
| License | Unknown | Apache 2.0 |
| Knowledge cutoff | - | 2025-06 |
Pricing and availability
| Pricing attribute | Doubao Pro 256K | Sarvam 30B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Doubao Pro 256K | Sarvam 30B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Sarvam 30B and tool use: Sarvam 30B. 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: Doubao Pro 256K has no token price sourced yet and Sarvam 30B has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Doubao Pro 256K when long-context analysis and larger context windows are central to the workload. Choose Sarvam 30B when provider fit 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. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Doubao Pro 256K or Sarvam 30B?
Doubao Pro 256K supports 256K tokens, while Sarvam 30B supports 65.5k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Doubao Pro 256K or Sarvam 30B open source?
Doubao Pro 256K is listed under Unknown. Sarvam 30B 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 function calling, Doubao Pro 256K or Sarvam 30B?
Sarvam 30B 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.
Which is better for tool use, Doubao Pro 256K or Sarvam 30B?
Sarvam 30B has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
When should I pick Doubao Pro 256K over Sarvam 30B?
Sarvam 30B is safer overall; choose Doubao Pro 256K when long-context analysis matters. If your workload also depends on long-context analysis, start with Doubao Pro 256K; if it depends on provider fit, run the same evaluation with Sarvam 30B.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.