API cost decision in 10 seconds

GLM 4.7 Flash vs NewClaude Opus 4.7 (Fast)

Pick GLM 4.7 Flash for lower cost; pick Claude Opus 4.7 (Fast) only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GLM 4.7 Flash for lower cost; pick Claude Opus 4.7 (Fast) only if the larger context window matters more.

On the standard 1M input plus 500K output workload, GLM 4.7 Flash is estimated at $0.26 vs $105 for Claude Opus 4.7 (Fast), saving $104.74 (99.8% lower).

Cost-first pickGLM 4.7 Flash
Context-first pickClaude Opus 4.7 (Fast)
Sample savings$104.7499.8%
10x traffic gap$1047.4

Claude Opus 4.7 (Fast) has more context, but GLM 4.7 Flash saves $104.74 on the standard workload. At 10x that traffic, the same price gap is about $1047.4. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GLM 4.7 Flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGLM 4.7 FlashClaude Opus 4.7 (Fast)
Input-heavy / RAG5M input + 500K outputGLM 4.7 Flash$0.5$225
Balanced workload1M input + 1M outputGLM 4.7 Flash$0.46$180
Output-heavy chatbot1M input + 5M outputGLM 4.7 Flash$2.06$780
Cheaper input GLM 4.7 Flash $0.06 vs $30 / 1M

GLM 4.7 Flash is $29.94 cheaper per 1M input tokens (99.8% lower; 500x difference).

Cheaper output GLM 4.7 Flash $0.4 vs $150 / 1M

GLM 4.7 Flash is $149.6 cheaper per 1M output tokens (99.7% lower; 375x difference).

Larger context Claude Opus 4.7 (Fast) 202.75K vs 1M

Claude Opus 4.7 (Fast) has 797.25K more context (4.93x larger).

Sample workload GLM 4.7 Flash $0.26 vs $105

GLM 4.7 Flash is $104.74 cheaper on the standard workload (99.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 4.7 Flash Calculating… Estimated API cost
Claude Opus 4.7 (Fast) 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

GLM 4.7 Flash has the lower input price; GLM 4.7 Flash has the lower output price; Claude Opus 4.7 (Fast) offers the larger context window. For the 1M input plus 500K output sample, GLM 4.7 Flash 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 $105 for Claude Opus 4.7 (Fast).

Best Fit

Choose GLM 4.7 Flash when you care most about lower input-token price, and lower output-token price.

Choose Claude Opus 4.7 (Fast) when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, GLM 4.7 Flash is estimated at $0.26 vs $105 for Claude Opus 4.7 (Fast), saving $104.74 (99.8% lower).
  • GLM 4.7 Flash is $104.74 cheaper on the standard workload (99.8% lower).
  • GLM 4.7 Flash is $29.94 cheaper per 1M input tokens (99.8% lower; 500x difference).
  • GLM 4.7 Flash is $149.6 cheaper per 1M output tokens (99.7% lower; 375x difference).
  • Claude Opus 4.7 (Fast) has 797.25K more context (4.93x larger).
Head-to-Head Specs
FeatureGLM 4.7 Flash
(Z.ai)		NewClaude Opus 4.7 (Fast)
(Anthropic)
Input Price
prompt tokens per 1M		$0.06$30
Completion Price
per 1M tokens		$0.4$150
Sample Workload Cost
1M input + 500K output		$0.26$105
Context Window202.75K1M
Release Date
Popularity#58#112

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGLM 4.7 FlashOn the standard 1M input plus 500K output workload, GLM 4.7 Flash is estimated at $0.26 vs $105 for Claude Opus 4.7 (Fast), saving $104.74 (99.8% lower).
High-volume input processingGLM 4.7 FlashLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGLM 4.7 FlashLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workClaude Opus 4.7 (Fast)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.
  • Claude 3 Haiku can replace Claude Opus 4.7 (Fast) when lower sample workload cost matters most: $0.88.
  • Claude 3.5 Haiku can replace Claude Opus 4.7 (Fast) when lower sample workload cost matters most: $2.8.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • GPT-5.5 offers 1.05M context with $20 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Z.ai catalog

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

Open Z.ai models

Anthropic catalog

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

Open Anthropic models
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,...

Claude Opus 4.7 (Fast)

Fast-mode variant of [Opus 4.7](/anthropic/claude-opus-4.7) - identical capabilities with higher output speed at premium 6x pricing. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode