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Claude Haiku Latest vs GPT Luna Latest

Claude Haiku Latest

~anthropic

40#313
vs
GPT Luna Latest

~openai

40#243
Signal-by-Signal Comparison
SignalClaude Haiku LatestDeltaGPT Luna Latest
Capabilities
100
--
100
Pricing
95
-4
99
Context window size
84
-11
96
Recency
100
--
100
Output Capacity
77
-5
82
Overall Result
0 wins
of 5
3 wins
GPT Luna Latest wins 3 of 5 signals

Score History Unavailable

Not enough historical data to show a comparison chart. Score history is recorded weekly and will be available after at least two data points are collected.

40

Claude Haiku Latest

vs

40

GPT Luna Latest

Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Claude Haiku Latest

~anthropic

Per request$0.003500
Daily$11.67
Monthly$350.00
Annual$4200.00

GPT Luna Latest

~openai

Best Value
Per request$0.000800
Daily$2.67
Monthly$80.00
Annual$960.00

GPT Luna Latest saves you $270.00/month

That's $3240.00/year compared to Claude Haiku Latest at your current usage level of 100K calls/month.

77% cheaper
Choose GPT Luna Latest for cost optimization

Claude Haiku Latest pricing:
Input:$1.00/M tokens
Output:$5.00/M tokens
GPT Luna Latest pricing:
Input:$0.20/M tokens
Output:$1.20/M tokens
Tie
Claude Haiku Latest

~anthropic

40

Composite Score

Tie
GPT Luna Latest

~openai

40

Composite Score

Signal-by-Signal Comparison
MetricClaude Haiku LatestGPT Luna LatestWinner
Overall Score
40
40
--
Rank#313#243
GPT Luna Latest
Quality Rank#313#243
GPT Luna Latest
Adoption Rank#313#243
GPT Luna Latest
Parameters------
Context Window200K1050K
GPT Luna Latest
Pricing$1.00/$5.00/M$0.20/$1.20/M--
Signal Scores
Capabilities
100
100
Claude Haiku Latest
Pricing
95
99
GPT Luna Latest
Context window size
84
96
GPT Luna Latest
Recency
100
100
Claude Haiku Latest
Output Capacity
77
82
GPT Luna Latest
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Claude Haiku LatestEntry Level

Scores 40/100 (rank #313), placing it in the top -8% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT Luna LatestEntry Level

Scores 40/100 (rank #243), placing it in the top 17% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Claude Haiku Latest when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT Luna Latest when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1050K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Haiku Latest
Input cost$1.00/M tokens
Output cost$5.00/M tokens
Cost per quality point$0.150
Est. monthly (1M tokens/day)$90.00
GPT Luna LatestBest Value
Input cost$0.20/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.035
Est. monthly (1M tokens/day)$21.00

GPT Luna Latest offers 77% better value per quality point. At 1M tokens/day, you'd spend $21.00/month with GPT Luna Latest vs $90.00/month with Claude Haiku Latest - a $69.00 monthly difference.

Latency & Speed
Claude Haiku LatestFaster
Speed score0/100
GPT Luna Latest
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Claude Haiku Latest

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT Luna Latest also offers lower per-token costs for high-volume support

Claude Haiku Latest

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT Luna Latest

Batch data extraction

Lower output pricing ($1.20/M) reduces costs when processing thousands of records daily

GPT Luna Latest

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Claude Haiku Latest

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Claude Haiku Latest
Which Should You Choose?
Our recommendation:
Claude Haiku Latest

Claude Haiku Latest and GPT Luna Latest are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by ~anthropic

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by ~openai

  • Choose for Cost - 77% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Haiku LatestGPT Luna Latest
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Claude Haiku Latest

~anthropic

$7.80
estimated monthly cost

GPT Luna Latest

~openai

Best Value
$1.80
estimated monthly cost

GPT Luna Latest saves you $6.00/month

That's 77% cheaper than Claude Haiku Latest at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterClaude Haiku LatestGPT Luna Latest
Context Window200K1.1M
Max Output Tokens64,000128,000
Open SourceNoNo
CreatedApr 27, 2026Sep 11, 2026
Last updated: 55m ago

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