Llama 3.1 Nemotron Nano VL 8B v1 vs Sarvam-M Multilingual Hybrid

Name: Llama 3.1 Nemotron Nano VL 8B v1
Author: NVIDIA AI

Llama 3.1 Nemotron Nano VL 8B v1 (2025) and Sarvam-M Multilingual Hybrid (2025) are compact production models from NVIDIA AI and Sarvam.ai. Llama 3.1 Nemotron Nano VL 8B v1 ships a 4k-token context window, while Sarvam-M Multilingual Hybrid ships a 128k-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.

Sarvam-M Multilingual Hybrid fits 32x more tokens; pick it for long-context work and Llama 3.1 Nemotron Nano VL 8B v1 for tighter calls.

Decision scorecard

Local evidence first

Signal	Llama 3.1 Nemotron Nano VL 8B v1	Sarvam-M Multilingual Hybrid	How to read it
Best for	multimodal apps	general production evaluation	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Vision	Long context	Primary workload tags from local decision data.
Context window	4k	128k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	-	-	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	1 tracked	1 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	0 shared	0 shared	No shared benchmark scores are available for this pair yet.

Decision tradeoffs

Choose Llama 3.1 Nemotron Nano VL 8B v1 when...

Llama 3.1 Nemotron Nano VL 8B v1 uniquely exposes Vision and Multimodal in local model data.
Local decision data tags Llama 3.1 Nemotron Nano VL 8B v1 for Vision.

Choose Sarvam-M Multilingual Hybrid when...

Sarvam-M Multilingual Hybrid has the larger context window for long prompts, retrieval packs, or transcript analysis.
Local decision data tags Sarvam-M Multilingual Hybrid for Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Requests / monthInput tokens / requestOutput tokens / request

Llama 3.1 Nemotron Nano VL 8B v1

Unavailable

No complete token price in local provider data

Sarvam-M Multilingual Hybrid

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Llama 3.1 Nemotron Nano VL 8B v1 -> Sarvam-M Multilingual Hybrid

Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
Check replacement coverage for Vision and Multimodal before moving production traffic.

Sarvam-M Multilingual Hybrid -> Llama 3.1 Nemotron Nano VL 8B v1

Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
Llama 3.1 Nemotron Nano VL 8B v1 adds Vision and Multimodal in local capability data.

Specs

Specification	Llama 3.1 Nemotron Nano VL 8B v1 NVIDIA AI	Sarvam-M Multilingual Hybrid Sarvam.ai
Released	2025-03-01	2025-06-01
Context window	4k	128k
Parameters	8B	24B
Architecture	Decoder Only	Decoder Only
License	Llama 3 Community	Apache 2.0OSI-approved
Openness	Open weights	Open source
Weights	Unknown	Not released
Code	Unknown	Unknown
Commercial use	Commercial use: conditional	Commercial use: permitted
Knowledge cutoff	-	-

Pricing and availability

Pricing attribute	Llama 3.1 Nemotron Nano VL 8B v1	Sarvam-M Multilingual Hybrid
Input price	-	-
Output price	-	-
Providers	NVIDIA NIM	NVIDIA NIM

Pricing not yet sourced for either model.

Capabilities

Capability	Llama 3.1 Nemotron Nano VL 8B v1	Sarvam-M Multilingual Hybrid
Vision	Yes	No
Multimodal	Yes	No
Reasoning	No	No
JSON / Tool use	No	No
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

Model pages

Labs and families

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Last reviewed: 2026-09-08. Data sourced from public model cards and provider documentation.

Both models

Llama 3.1 Nemotron Nano VL 8B v1 Sarvam-M Multilingual Hybrid