API cost decision in 10 seconds

NewClaude Haiku 5.5 (batch) vs GLM 5.3 (batch)

Pick Claude Haiku 5.5 (batch) for lower cost; pick GLM 5.3 (batch) 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 Claude Haiku 5.5 (batch) for lower cost; pick GLM 5.3 (batch) only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Claude Haiku 5.5 (batch) is estimated at $0.17 vs $1.45 for GLM 5.3 (batch), saving $1.27 (87.9% lower).

Cost-first pickClaude Haiku 5.5 (batch)
Context-first pickGLM 5.3 (batch)
Sample savings$1.2787.9%
10x traffic gap$12.75

GLM 5.3 (batch) has more context, but Claude Haiku 5.5 (batch) saves $1.27 on the standard workload. At 10x that traffic, the same price gap is about $12.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Claude Haiku 5.5 (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickClaude Haiku 5.5 (batch)GLM 5.3 (batch)
Input-heavy / RAG5M input + 500K outputClaude Haiku 5.5 (batch)$0.38$3.25
Balanced workload1M input + 1M outputClaude Haiku 5.5 (batch)$0.3$2.45
Output-heavy chatbot1M input + 5M outputClaude Haiku 5.5 (batch)$1.3$10.45
Cheaper input Claude Haiku 5.5 (batch) $0.05 vs $0.45 / 1M

Claude Haiku 5.5 (batch) is $0.4 cheaper per 1M input tokens (88.9% lower; 9x difference).

Cheaper output Claude Haiku 5.5 (batch) $0.25 vs $2 / 1M

Claude Haiku 5.5 (batch) is $1.75 cheaper per 1M output tokens (87.5% lower; 8x difference).

Larger context GLM 5.3 (batch) 1M vs 1.05M

GLM 5.3 (batch) has 48.58K more context (1.05x larger).

Sample workload Claude Haiku 5.5 (batch) $0.17 vs $1.45

Claude Haiku 5.5 (batch) is $1.27 cheaper on the standard workload (87.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Claude Haiku 5.5 (batch) Calculating… Estimated API cost
GLM 5.3 (batch) 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

Claude Haiku 5.5 (batch) has the lower input price; Claude Haiku 5.5 (batch) has the lower output price; GLM 5.3 (batch) offers the larger context window. For the 1M input plus 500K output sample, Claude Haiku 5.5 (batch) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.17 for Claude Haiku 5.5 (batch) and $1.45 for GLM 5.3 (batch).

Best Fit

Choose Claude Haiku 5.5 (batch) when you care most about lower input-token price, and lower output-token price.

Choose GLM 5.3 (batch) when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Claude Haiku 5.5 (batch) is estimated at $0.17 vs $1.45 for GLM 5.3 (batch), saving $1.27 (87.9% lower).
  • Claude Haiku 5.5 (batch) is $1.27 cheaper on the standard workload (87.9% lower).
  • Claude Haiku 5.5 (batch) is $0.4 cheaper per 1M input tokens (88.9% lower; 9x difference).
  • Claude Haiku 5.5 (batch) is $1.75 cheaper per 1M output tokens (87.5% lower; 8x difference).
  • GLM 5.3 (batch) has 48.58K more context (1.05x larger).
Head-to-Head Specs
FeatureNewClaude Haiku 5.5 (batch)
(Anthropic)
GLM 5.3 (batch)
(Z.ai)
Input Price
prompt tokens per 1M
$0.05$0.45
Completion Price
per 1M tokens
$0.25$2
Sample Workload Cost
1M input + 500K output
$0.17$1.45
Context Window1M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionClaude Haiku 5.5 (batch)On the standard 1M input plus 500K output workload, Claude Haiku 5.5 (batch) is estimated at $0.17 vs $1.45 for GLM 5.3 (batch), saving $1.27 (87.9% lower).
High-volume input processingClaude Haiku 5.5 (batch)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsClaude Haiku 5.5 (batch)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGLM 5.3 (batch)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • GLM 5.2 (free) can replace GLM 5.3 (batch) when lower sample workload cost matters most: $0.
  • GLM 4.5 Air (free) can replace GLM 5.3 (batch) when lower sample workload cost matters most: $0.
  • GLM 4 32B can replace GLM 5.3 (batch) when lower sample workload cost matters most: $0.15.
  • GLM 5.3 Flash (batch) can replace GLM 5.3 (batch) when lower sample workload cost matters most: $0.16.
Larger context near this budget
  • Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
  • MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
  • GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
  • GPT-6 Luna Pro offers 1.05M context with $0.35 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

Anthropic catalog

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

Open Anthropic models

Z.ai catalog

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

Open Z.ai models
Claude Haiku 5.5 (batch)

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...

GLM 5.3 (batch)

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...