API cost decision in 10 seconds

Nemotron 3 Nano 30B A3B (free) vs Qwen3 235B A22B Thinking 2507

Pick Nemotron 3 Nano 30B A3B (free) for lower cost; pick Qwen3 235B A22B Thinking 2507 only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron 3 Nano 30B A3B (free) for lower cost; pick Qwen3 235B A22B Thinking 2507 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nemotron 3 Nano 30B A3B (free) is estimated at $0 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.9 (100% lower).

Cost-first pickNemotron 3 Nano 30B A3B (free)

Context-first pickQwen3 235B A22B Thinking 2507

Sample savings$0.9100%

10x traffic gap$8.97

Qwen3 235B A22B Thinking 2507 has more context, but Nemotron 3 Nano 30B A3B (free) saves $0.9 on the standard workload. At 10x that traffic, the same price gap is about $8.97. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nemotron 3 Nano 30B A3B (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Nemotron 3 Nano 30B A3B (free)	Qwen3 235B A22B Thinking 2507
Input-heavy / RAG	5M input + 500K output	Nemotron 3 Nano 30B A3B (free)	$0	$1.5
Balanced workload	1M input + 1M output	Nemotron 3 Nano 30B A3B (free)	$0	$1.64
Output-heavy chatbot	1M input + 5M output	Nemotron 3 Nano 30B A3B (free)	$0	$7.62

Cheaper input Nemotron 3 Nano 30B A3B (free) $0 vs $0.1495 / 1M

Nemotron 3 Nano 30B A3B (free) is free for input tokens while Qwen3 235B A22B Thinking 2507 costs $0.15 per 1M tokens.

Cheaper output Nemotron 3 Nano 30B A3B (free) $0 vs $1.495 / 1M

Nemotron 3 Nano 30B A3B (free) is free for output tokens while Qwen3 235B A22B Thinking 2507 costs $1.5 per 1M tokens.

Larger context Qwen3 235B A22B Thinking 2507 256K vs 262.14K

Qwen3 235B A22B Thinking 2507 has 6.14K more context (1.02x larger).

Sample workload Nemotron 3 Nano 30B A3B (free) $0 vs $0.9

Nemotron 3 Nano 30B A3B (free) is free for the standard workload while the other model is estimated at $0.9.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Nemotron 3 Nano 30B A3B (free) Calculating… Estimated API cost

Qwen3 235B A22B Thinking 2507 Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Nemotron 3 Nano 30B A3B (free) has the lower input price; Nemotron 3 Nano 30B A3B (free) has the lower output price; Qwen3 235B A22B Thinking 2507 offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Nano 30B A3B (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Nemotron 3 Nano 30B A3B (free) and $0.9 for Qwen3 235B A22B Thinking 2507.

Best Fit

Choose Nemotron 3 Nano 30B A3B (free) when you care most about lower input-token price, and lower output-token price.

Choose Qwen3 235B A22B Thinking 2507 when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Nemotron 3 Nano 30B A3B (free) is estimated at $0 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.9 (100% lower).
Nemotron 3 Nano 30B A3B (free) is free for the standard workload while the other model is estimated at $0.9.
Nemotron 3 Nano 30B A3B (free) is free for input tokens while Qwen3 235B A22B Thinking 2507 costs $0.15 per 1M tokens.
Nemotron 3 Nano 30B A3B (free) is free for output tokens while Qwen3 235B A22B Thinking 2507 costs $1.5 per 1M tokens.
Qwen3 235B A22B Thinking 2507 has 6.14K more context (1.02x larger).

Head-to-Head Specs

Feature	Nemotron 3 Nano 30B A3B (free) (NVIDIA)	Qwen3 235B A22B Thinking 2507 (Qwen)
Input Price prompt tokens per 1M	$0	$0.1495
Completion Price per 1M tokens	$0	$1.495
Sample Workload Cost 1M input + 500K output	$0	$0.9
Context Window	256K	262.14K
Release Date	2025-12-14	2025-07-25
Popularity	#77	#133

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Nemotron 3 Nano 30B A3B (free)	On the standard 1M input plus 500K output workload, Nemotron 3 Nano 30B A3B (free) is estimated at $0 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.9 (100% lower).
High-volume input processing	Nemotron 3 Nano 30B A3B (free)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Nemotron 3 Nano 30B A3B (free)	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3 235B A22B Thinking 2507	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.11.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

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Cheaper alternatives

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Provider catalogs

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NVIDIA catalog

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Qwen catalog

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Nemotron 3 Nano 30B A3B (free)

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...

Qwen3 235B A22B Thinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...