API cost decision in 10 seconds

Qwen3 Coder Next vs Nemotron Nano 12B 2 VL (free)

Pick Nemotron Nano 12B 2 VL (free) for lower cost; pick Qwen3 Coder Next only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron Nano 12B 2 VL (free) for lower cost; pick Qwen3 Coder Next only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nemotron Nano 12B 2 VL (free) is estimated at $0 vs $0.51 for Qwen3 Coder Next, saving $0.51 (100% lower).

Cost-first pickNemotron Nano 12B 2 VL (free)
Context-first pickQwen3 Coder Next
Sample savings$0.51100%
10x traffic gap$5.1

Qwen3 Coder Next has more context, but Nemotron Nano 12B 2 VL (free) saves $0.51 on the standard workload. At 10x that traffic, the same price gap is about $5.1. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nemotron Nano 12B 2 VL (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3 Coder NextNemotron Nano 12B 2 VL (free)
Input-heavy / RAG 5M input + 500K output Nemotron Nano 12B 2 VL (free) $0.95 $0
Balanced workload 1M input + 1M output Nemotron Nano 12B 2 VL (free) $0.91 $0
Output-heavy chatbot 1M input + 5M output Nemotron Nano 12B 2 VL (free) $4.11 $0
Cheaper inputNemotron Nano 12B 2 VL (free)$0.11 vs $0 / 1M
Cheaper outputNemotron Nano 12B 2 VL (free)$0.8 vs $0 / 1M
Larger contextQwen3 Coder Next262.14K vs 128K
Sample workloadNemotron Nano 12B 2 VL (free)$0.51 vs $0

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3 Coder NextCalculating…Estimated API cost
Nemotron Nano 12B 2 VL (free)Calculating…Estimated API cost
Cheaper for this workloadCalculating…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 Nano 12B 2 VL (free) has the lower input price, Nemotron Nano 12B 2 VL (free) has the lower output price, and Qwen3 Coder Next offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.51 for Qwen3 Coder Next and $0 for Nemotron Nano 12B 2 VL (free).

Best Fit

Choose Qwen3 Coder Next when you care most about larger context window.

Choose Nemotron Nano 12B 2 VL (free) when you care most about lower input-token price, and lower output-token price.

Head-to-Head Specs
FeatureQwen3 Coder Next
(Qwen)
Nemotron Nano 12B 2 VL (free)
(NVIDIA)
Input Price
prompt tokens per 1M
$0.11$0
Completion Price
per 1M tokens
$0.8$0
Sample Workload Cost
1M input + 500K output
$0.51$0
Context Window262.14K128K
Release Date2026-02-042025-10-28
Qwen3 Coder Next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

Nemotron Nano 12B 2 VL (free)

NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a hybrid Transformer-Mamba architecture, combining transformer-level accuracy with Mamba’s...

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron Nano 12B 2 VL (free)On the standard 1M input plus 500K output workload, Nemotron Nano 12B 2 VL (free) is estimated at $0 vs $0.51 for Qwen3 Coder Next, saving $0.51 (100% lower).
High-volume input processingNemotron Nano 12B 2 VL (free)Lower prompt-token price matters most when prompts or retrieved passages dominate the bill.
Long responses and chatbotsNemotron Nano 12B 2 VL (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3 Coder NextA larger context window leaves more room for retrieved passages and source files.