API cost decision in 10 seconds

NewClaude Haiku 5.5 (batch) vs NewLing 3.1 Flash

Pick Claude Haiku 5.5 (batch) when budget and context both matter.

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) when budget and context both matter.

On the standard 1M input plus 500K output workload, Claude Haiku 5.5 (batch) is estimated at $0.17 vs $0.19 for Ling 3.1 Flash, saving $0.01 (6.7% lower).

Cost-first pickClaude Haiku 5.5 (batch)
Context-first pickClaude Haiku 5.5 (batch)
Sample savings$0.016.7%
10x traffic gap$0.13

Claude Haiku 5.5 (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.13. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Claude Haiku 5.5 (batch), balanced workload favors Tie, and output-heavy chatbot favors Ling 3.1 Flash.

Workload shapeToken mixBetter pickClaude Haiku 5.5 (batch)Ling 3.1 Flash
Input-heavy / RAG5M input + 500K outputClaude Haiku 5.5 (batch)$0.38$0.49
Balanced workload1M input + 1M outputTie$0.3$0.3
Output-heavy chatbot1M input + 5M outputLing 3.1 Flash$1.3$1.2
Cheaper input Claude Haiku 5.5 (batch) $0.05 vs $0.075 / 1M

Claude Haiku 5.5 (batch) is $0.02 cheaper per 1M input tokens (33.3% lower; 1.5x difference).

Cheaper output Ling 3.1 Flash $0.25 vs $0.225 / 1M

Ling 3.1 Flash is $0.02 cheaper per 1M output tokens (10% lower; 1.11x difference).

Larger context Claude Haiku 5.5 (batch) 1M vs 262.14K

Claude Haiku 5.5 (batch) has 737.86K more context (3.81x larger).

Sample workload Claude Haiku 5.5 (batch) $0.17 vs $0.19

Claude Haiku 5.5 (batch) is $0.01 cheaper on the standard workload (6.7% 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
Ling 3.1 Flash 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; Ling 3.1 Flash has the lower output price; Claude Haiku 5.5 (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 $0.19 for Ling 3.1 Flash.

Best Fit

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

Choose Ling 3.1 Flash when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Claude Haiku 5.5 (batch) is estimated at $0.17 vs $0.19 for Ling 3.1 Flash, saving $0.01 (6.7% lower).
  • Claude Haiku 5.5 (batch) is $0.01 cheaper on the standard workload (6.7% lower).
  • Claude Haiku 5.5 (batch) is $0.02 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
  • Ling 3.1 Flash is $0.02 cheaper per 1M output tokens (10% lower; 1.11x difference).
  • Claude Haiku 5.5 (batch) has 737.86K more context (3.81x larger).
Head-to-Head Specs
FeatureNewClaude Haiku 5.5 (batch)
(Anthropic)
NewLing 3.1 Flash
(inclusionAI)
Input Price
prompt tokens per 1M
$0.05$0.075
Completion Price
per 1M tokens
$0.25$0.225
Sample Workload Cost
1M input + 500K output
$0.17$0.19
Context Window1M262.14K
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 $0.19 for Ling 3.1 Flash, saving $0.01 (6.7% 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 chatbotsLing 3.1 FlashLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workClaude Haiku 5.5 (batch)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Larger context alternatives

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Provider catalogs

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Anthropic catalog

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inclusionAI catalog

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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...

Ling 3.1 Flash

Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.