LLM Reference

Phi-4 Reasoning Vision 15B vs Sarvam 30B

Phi-4 Reasoning Vision 15B (2026) and Sarvam 30B (2026) are compact production models from Microsoft Research and Sarvam.ai. Phi-4 Reasoning Vision 15B ships a not-yet-sourced 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 is safer overall; choose Phi-4 Reasoning Vision 15B when vision-heavy evaluation matters.

Decision scorecard

Local evidence first
SignalPhi-4 Reasoning Vision 15BSarvam 30B
Best formultimodal appstool-calling agents
Decision fitVisionAgents and JSON / Tool use
Context window66k
Cheapest output--
Provider routes0 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Phi-4 Reasoning Vision 15B when...
  • Phi-4 Reasoning Vision 15B uniquely exposes Vision and Multimodal in local model data.
  • Local decision data tags Phi-4 Reasoning Vision 15B for Vision.
Choose Sarvam 30B when...
  • Sarvam 30B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • 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 route or tier on this page.

Phi-4 Reasoning Vision 15B

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

Phi-4 Reasoning Vision 15B -> Sarvam 30B
  • No overlapping tracked provider route is sourced for Phi-4 Reasoning Vision 15B and Sarvam 30B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision and Multimodal before moving production traffic.
  • Sarvam 30B adds Function calling and Tool use in local capability data.
Sarvam 30B -> Phi-4 Reasoning Vision 15B
  • No overlapping tracked provider route is sourced for Sarvam 30B and Phi-4 Reasoning Vision 15B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.
  • Phi-4 Reasoning Vision 15B adds Vision and Multimodal in local capability data.

Specs

Specification
Released2026-03-122026-03-22
Context window66k
Parameters15B30B (2.4B active)
Architecture-moe
LicenseMIT(OSI)Apache 2.0(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff2025-032025-06

Pricing and availability

Pricing attributePhi-4 Reasoning Vision 15BSarvam 30B
Input price--
Output price--
Providers--

Pricing not yet sourced for either model.

Capabilities

CapabilityPhi-4 Reasoning Vision 15BSarvam 30B
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Phi-4 Reasoning Vision 15B, multimodal input: Phi-4 Reasoning Vision 15B, 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: Phi-4 Reasoning Vision 15B 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 Phi-4 Reasoning Vision 15B when vision-heavy evaluation 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.

FAQ

Is Phi-4 Reasoning Vision 15B or Sarvam 30B open source?

Phi-4 Reasoning Vision 15B is listed under MIT. 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 vision, Phi-4 Reasoning Vision 15B or Sarvam 30B?

Phi-4 Reasoning Vision 15B has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Phi-4 Reasoning Vision 15B or Sarvam 30B?

Phi-4 Reasoning Vision 15B has the clearer documented multimodal input signal in this comparison. If multimodal input 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, Phi-4 Reasoning Vision 15B 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, Phi-4 Reasoning Vision 15B 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 Phi-4 Reasoning Vision 15B over Sarvam 30B?

Sarvam 30B is safer overall; choose Phi-4 Reasoning Vision 15B when vision-heavy evaluation matters. If your workload also depends on vision-heavy evaluation, start with Phi-4 Reasoning Vision 15B; if it depends on provider fit, run the same evaluation with Sarvam 30B.

Continue comparing

Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.