API cost decision in 10 seconds

GLM 4.7 Flash vs GPT-5 Nano

Pick GPT-5 Nano when budget and context both matter.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GPT-5 Nano when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-5 Nano is estimated at $0.25 vs $0.26 for GLM 4.7 Flash, saving $0.01 (3.8% lower).

Cost-first pickGPT-5 Nano

Context-first pickGPT-5 Nano

Sample savings$0.013.8%

10x traffic gap$0.1

GPT-5 Nano is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.1. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT-5 Nano stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	GLM 4.7 Flash	GPT-5 Nano
Input-heavy / RAG	5M input + 500K output	GPT-5 Nano	$0.5	$0.45
Balanced workload	1M input + 1M output	GPT-5 Nano	$0.46	$0.45
Output-heavy chatbot	1M input + 5M output	GPT-5 Nano	$2.06	$2.05

Cheaper input GPT-5 Nano $0.06 vs $0.05 / 1M

GPT-5 Nano is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).

Cheaper output Tie $0.4 vs $0.4 / 1M

Both models report the same output price at $0.4 per 1M tokens.

Larger context GPT-5 Nano 202.75K vs 400K

GPT-5 Nano has 197.25K more context (1.97x larger).

Sample workload GPT-5 Nano $0.26 vs $0.25

GPT-5 Nano is $0.01 cheaper on the standard workload (3.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GLM 4.7 Flash Calculating… Estimated API cost

GPT-5 Nano 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

GPT-5 Nano has the lower input price; both models tie on output price; GPT-5 Nano offers the larger context window. For the 1M input plus 500K output sample, GPT-5 Nano is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.26 for GLM 4.7 Flash and $0.25 for GPT-5 Nano.

Best Fit

Choose GLM 4.7 Flash when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose GPT-5 Nano when you care most about lower input-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, GPT-5 Nano is estimated at $0.25 vs $0.26 for GLM 4.7 Flash, saving $0.01 (3.8% lower).
GPT-5 Nano is $0.01 cheaper on the standard workload (3.8% lower).
GPT-5 Nano is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
Both models report the same output price at $0.4 per 1M tokens.
GPT-5 Nano has 197.25K more context (1.97x larger).

Head-to-Head Specs

Feature	GLM 4.7 Flash (Z.ai)	GPT-5 Nano (OpenAI)
Input Price prompt tokens per 1M	$0.06	$0.05
Completion Price per 1M tokens	$0.4	$0.4
Sample Workload Cost 1M input + 500K output	$0.26	$0.25
Context Window	202.75K	400K
Release Date	2026-01-19	2025-08-07
Popularity	#58	#68

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GPT-5 Nano	On the standard 1M input plus 500K output workload, GPT-5 Nano is estimated at $0.25 vs $0.26 for GLM 4.7 Flash, saving $0.01 (3.8% lower).
High-volume input processing	GPT-5 Nano	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Tie	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT-5 Nano	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

GLM 4.5 Air (free) can replace GLM 4.7 Flash when lower sample workload cost matters most: $0.
GLM 4 32B can replace GLM 4.7 Flash when lower sample workload cost matters most: $0.15.
gpt-oss-120b (free) can replace GPT-5 Nano when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5 Nano when lower sample workload cost matters most: $0.

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.
Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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Z.ai catalog

Review all tracked Z.ai models before deciding whether this matchup is the right shortlist.

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OpenAI catalog

Check other OpenAI models with comparable pricing, context, or release timing.

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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,...

GPT-5 Nano

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...