AI Model Comparison
Side-by-side comparison of pricing, context window, benchmarks, capabilities, and license. Every figure comes from the developer's own pages, last checked on ; each model's page lists its sources. A figure we could not source shows as a dash.
Model A — NVIDIA
Nemotron 3 Super is an NVIDIA open-weight language model released on March 11, 2026, with 120B total and 12B active parameters, optimized for collaborative agents and high-volume workloads. It produces a reasoning trace before its answer and supports up to 1M tokens of context.
Model B — Sarvam AI
Sarvam-105B is a mixture-of-experts reasoning model from Sarvam AI, released on March 6, 2026, trained from scratch on 12 trillion tokens with multi-head latent attention, for reasoning, coding and agentic tasks, with a focus on Indian languages.
| Property | NVIDIA Nemotron 3 Super | Sarvam-105B |
|---|---|---|
| Released | Mar 11, 2026 | Mar 6, 2026 |
| Developer | NVIDIA | Sarvam AI |
| Type | reasoning | reasoning |
| License | open-weight | open-weight |
| Context window | 1,048,576 | — |
| Parameters | 120B total, 12B active (LatentMoE: Mamba-2 + MoE + attention hybrid) | 105B+ total (MoE, 128 experts); 10.3B active |
| Developer status | — | — |
| Input $/M tokens | — | — |
| Output $/M tokens | — | — |
Bold green values indicate the winner on that dimension where comparison is meaningful (lower price wins; bigger context wins; more open license wins; newer date wins). Prices are the ones each developer lists today; a model it no longer prices has none.
No exclusive capabilities
No exclusive capabilities
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