API cost decision in 10 seconds

GLM 4.7 Flash vs Nemotron Nano 12B 2 VL (free)

Pick Nemotron Nano 12B 2 VL (free) for lower cost; pick GLM 4.7 Flash 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 GLM 4.7 Flash 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 $0.26 for GLM 4.7 Flash, saving $0.26 (100% lower).

Cost-first pickNemotron Nano 12B 2 VL (free)
Context-first pickGLM 4.7 Flash
Sample savings$0.26100%
10x traffic gap$2.6

GLM 4.7 Flash has more context, but Nemotron Nano 12B 2 VL (free) saves $0.26 on the standard workload. At 10x that traffic, the same price gap is about $2.6. 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 pickGLM 4.7 FlashNemotron Nano 12B 2 VL (free)
Input-heavy / RAG 5M input + 500K output Nemotron Nano 12B 2 VL (free) $0.5 $0
Balanced workload 1M input + 1M output Nemotron Nano 12B 2 VL (free) $0.46 $0
Output-heavy chatbot 1M input + 5M output Nemotron Nano 12B 2 VL (free) $2.06 $0
Cheaper inputNemotron Nano 12B 2 VL (free)$0.06 vs $0 / 1M
Cheaper outputNemotron Nano 12B 2 VL (free)$0.4 vs $0 / 1M
Larger contextGLM 4.7 Flash202.75K vs 128K
Sample workloadNemotron Nano 12B 2 VL (free)$0.26 vs $0

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 4.7 FlashCalculating…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 GLM 4.7 Flash offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.26 for GLM 4.7 Flash and $0 for Nemotron Nano 12B 2 VL (free).

Best Fit

Choose GLM 4.7 Flash 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
FeatureGLM 4.7 Flash
(Z.ai)
Nemotron Nano 12B 2 VL (free)
(NVIDIA)
Input Price
prompt tokens per 1M
$0.06$0
Completion Price
per 1M tokens
$0.4$0
Sample Workload Cost
1M input + 500K output
$0.26$0
Context Window202.75K128K
Release Date2026-01-192025-10-28
GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

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 $0.26 for GLM 4.7 Flash, saving $0.26 (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 workGLM 4.7 FlashA larger context window leaves more room for retrieved passages and source files.