LLM Reference

Mistral Large 2 vs Sarvam 30B

Mistral Large 2 (2025) and Sarvam 30B (2026) are compact production models from MistralAI and Sarvam.ai. Mistral Large 2 ships a 128k-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 is safer overall; choose Mistral Large 2 when long-context analysis matters.

Decision scorecard

Local evidence first
SignalMistral Large 2Sarvam 30B
Best formultimodal apps, tool-calling agents, and provider-routed productiontool-calling agents
Decision fitCoding, RAG, and AgentsAgents and JSON / Tool use
Context window128k66k
Cheapest output$2.40/1M tokens-
Provider routes4 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Mistral Large 2 when...
  • Mistral Large 2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral Large 2 has broader tracked provider coverage for fallback and procurement flexibility.
  • Mistral Large 2 uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
  • Local decision data tags Mistral Large 2 for Coding, RAG, and Agents.
Choose Sarvam 30B when...
  • 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.

Mistral Large 2

$984

Cheapest tracked route/tier: AWS Bedrock

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

Mistral Large 2 -> Sarvam 30B
  • No overlapping tracked provider route is sourced for Mistral Large 2 and Sarvam 30B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Sarvam 30B -> Mistral Large 2
  • No overlapping tracked provider route is sourced for Sarvam 30B and Mistral Large 2; plan for SDK, billing, or endpoint changes.
  • Mistral Large 2 adds Vision, Multimodal, and Structured outputs in local capability data.

Specs

Specification
Released2025-11-252026-03-22
Context window128k66k
Parameters123B30B (2.4B active)
Architecturedecoder onlymoe
LicenseMistral LicenseApache 2.0(OSI)
OpennessOpen weightsOpen source
Commercial useNon-commercial onlyCommercial use allowed
Knowledge cutoff2025-072025-06

Pricing and availability

Pricing attributeMistral Large 2Sarvam 30B
Input price$0.48/1M tokens-
Output price$2.40/1M tokens-
Providers-

Capabilities

CapabilityMistral Large 2Sarvam 30B
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingYesYes
Tool useYesYes
Structured outputsYesNo
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: Mistral Large 2, multimodal input: Mistral Large 2, and structured outputs: Mistral Large 2. Both models share function calling and 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: Mistral Large 2 has $0.48/1M input tokens and Sarvam 30B has no token price sourced yet. Provider availability is 4 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Mistral Large 2 when long-context analysis, larger context windows, and broader provider choice 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

Which has a larger context window, Mistral Large 2 or Sarvam 30B?

Mistral Large 2 supports 128k 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.

Is Mistral Large 2 or Sarvam 30B open source?

Mistral Large 2 is listed under Mistral License. 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, Mistral Large 2 or Sarvam 30B?

Mistral Large 2 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, Mistral Large 2 or Sarvam 30B?

Mistral Large 2 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, Mistral Large 2 or Sarvam 30B?

Both Mistral Large 2 and Sarvam 30B expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Mistral Large 2 and Sarvam 30B?

Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Sarvam 30B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.