Qwen-AgentWorld-35B-A3B vs Sarvam 30B
Qwen-AgentWorld-35B-A3B (2026) and Sarvam 30B (2026) are frontier reasoning models from Alibaba and Sarvam.ai. Qwen-AgentWorld-35B-A3B ships a 262k-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.
Qwen-AgentWorld-35B-A3B fits 4x more tokens; pick it for long-context work and Sarvam 30B for tighter calls.
Decision scorecard
Local evidence first| Signal | Qwen-AgentWorld-35B-A3B | Sarvam 30B |
|---|---|---|
| Best for | reasoning-heavy apps and tool-calling agents | tool-calling agents |
| Decision fit | RAG, Agents, and Long context | Agents and JSON / Tool use |
| Context window | 262k | 66k |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Qwen-AgentWorld-35B-A3B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen-AgentWorld-35B-A3B uniquely exposes Reasoning in local model data.
- Local decision data tags Qwen-AgentWorld-35B-A3B for RAG, Agents, and Long context.
- Sarvam 30B uniquely exposes Function calling 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.
Qwen-AgentWorld-35B-A3B
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 Qwen-AgentWorld-35B-A3B and Sarvam 30B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- Sarvam 30B adds Function calling in local capability data.
- No overlapping tracked provider route is sourced for Sarvam 30B and Qwen-AgentWorld-35B-A3B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling before moving production traffic.
- Qwen-AgentWorld-35B-A3B adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-06-25 | 2026-03-22 |
| Context window | 262k | 66k |
| Parameters | 35B total, 3B active | 30B (2.4B active) |
| Architecture | Mixture of Experts | Mixture of Experts |
| License | Apache 2.0OSI-approved | Apache 2.0OSI-approved |
| Openness | Open source | Open source |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | - | 2025-06 |
Pricing and availability
| Pricing attribute | Qwen-AgentWorld-35B-A3B | Sarvam 30B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Qwen-AgentWorld-35B-A3B | Sarvam 30B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| Function calling | No | Yes |
| Tool use | Yes | 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.
Deep dive
The capability footprint differs most on reasoning mode: Qwen-AgentWorld-35B-A3B and function calling: Sarvam 30B. Both models share tool use, 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: Qwen-AgentWorld-35B-A3B 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 Qwen-AgentWorld-35B-A3B when reasoning depth 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, Qwen-AgentWorld-35B-A3B or Sarvam 30B?
Qwen-AgentWorld-35B-A3B supports 262k tokens, while Sarvam 30B supports 66k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Is Qwen-AgentWorld-35B-A3B or Sarvam 30B open source?
Qwen-AgentWorld-35B-A3B is listed under Apache 2.0. 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 reasoning mode, Qwen-AgentWorld-35B-A3B or Sarvam 30B?
Qwen-AgentWorld-35B-A3B has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, Qwen-AgentWorld-35B-A3B 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, Qwen-AgentWorld-35B-A3B or Sarvam 30B?
Both Qwen-AgentWorld-35B-A3B and Sarvam 30B expose tool use. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick Qwen-AgentWorld-35B-A3B over Sarvam 30B?
Qwen-AgentWorld-35B-A3B fits 4x more tokens; pick it for long-context work and Sarvam 30B for tighter calls. If your workload also depends on reasoning depth, start with Qwen-AgentWorld-35B-A3B; if it depends on provider fit, run the same evaluation with Sarvam 30B.
Continue comparing
Last reviewed: 2026-06-25. Data sourced from public model cards and provider documentation.