Analysis Summary
Llama Nemotron Super 49B v1.5 is NVIDIA's reasoning model built on the Llama family, with a particularly strong measured coding result and high mathematics performance. Its general intelligence result is much lower than those specialist scores, while instruction following, terminal use, and tool-oriented performance are weak. Input pricing is $0.10 per million tokens and output pricing is $0.40, giving it an attractive stated cost profile.
The model is a candidate for code completion, mathematical checking, and technical problem solving where the workflow can constrain and test the answer. It is not a good choice for autonomous agents, nuanced client writing, or tool-heavy engineering tasks because the available execution and instruction-following results are limited. The low price makes it useful as a specialist or fallback coding tier. Adopt it for validated technical workloads rather than as a general-purpose client assistant.
Assessed August 9, 2026
Editorial notes
Llama Nemotron Super 49B v1.5 pairs limited general reasoning with strong mathematical and coding results at $0.10 per million input tokens. Weak instruction following, terminal use, and agentic evidence limit it to specialist coding support.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama Nemotron Super 49B v1.5 pairs limited general reasoning with strong mathematical and coding results at $0.10 per million input tokens. Weak instruction following, terminal use, and agentic evidence limit it to specialist coding support.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
12.4 Intelligence Index·76.7 Math Index
How Llama Nemotron Super 49B v1.5 (Reasoning) compares
Llama Nemotron Super 49B v1.5 (Reasoning) ranks #250 of 433 AI models we track for overall intelligence. At $0.10 per million input tokens it is cheaper than 70% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.40 | $0.000400 |
What would Llama Nemotron Super 49B v1.5 (Reasoning) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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We route routine calls to cheap models and save Llama Nemotron Super 49B v1.5 (Reasoning) for the hard ones. Most clients cut their estimate by 60-80%.
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Frequently asked questions about Llama Nemotron Super 49B v1.5 (Reasoning)
How much does Llama Nemotron Super 49B v1.5 (Reasoning) cost?
Llama Nemotron Super 49B v1.5 (Reasoning) costs $0.10 per million input tokens and $0.40 per million output tokens.
Who created Llama Nemotron Super 49B v1.5 (Reasoning)?
Llama Nemotron Super 49B v1.5 (Reasoning) is developed by NVIDIA and was released on July 25, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 3, 2026 8:38 pm