CompareLLM
CompareLLM.ai
Live
Leaderboard
Models
Compare
Best of & Stacks
Research & News
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

Theme:
Currency:
  1. Home
  2. Comparisons
  3. Anthropic: Claude Haiku 4.5 (batch) vs GPT-5

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Anthropic: Claude Haiku 4.5 (batch) vs GPT-5 benchmark

In this head-to-head showdown, Anthropic: Claude Haiku 4.5 (batch) is more budget-friendly at $2.5/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Anthropic: Claude Haiku 4.5 (batch) and GPT-5 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
Share Analysis:
WhatsAppTelegramXLinkedInReddit
Anthropic
Anthropic: Claude Haiku 4.5 (batch)

Auto-discovered from OpenRouter (anthropic/claude-haiku-4.5:batch). Preview until a second source matches.

$2.5/1M out
OpenAI
GPT-5

OpenAI flagship reasoning model for 2025–26. Strong general preference Elo and multimodal coverage.

Elo 1,558$10/1M out

GPT-5 Thinking Depth & Cost Scaler

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay
290 ms
Standard speed
Reasoning Depth
~1,500
Internal tokens
Cost / 1k Calls
$18.63
5.1× standard bill
Accuracy Boost
+4.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for Anthropic: Claude Haiku 4.5 (batch)
All Matchups
Compare vs:vs GPT-5 minivs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

Anthropic: Claude Haiku 4.5 (batch)

$2.5 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageGPT-5 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Anthropic: Claude Haiku 4.5 (batch) (2)vsGPT-5 (8)
Anthropic: Claude Haiku 4.5 (batch): 2W (20%)Overall: GPT-5GPT-5: 8W (80%)
← Anthropic: Claude Haiku 4.5 (batch)GPT-5 →
GPT-5 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo
—vs1,558
Coding Elo
—vs1,540
SWE-bench
—vs68.4%
LiveBench
—vs69.8%
GPQA Diamond
—vs85.2%
Anthropic: Claude Haiku 4.5 (batch): 0WGPT-5: 5W
GPT-5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs78 tok/s
Time to first token
—vs290 ms
Anthropic: Claude Haiku 4.5 (batch): 0WGPT-5: 2W
Anthropic: Claude Haiku 4.5 (batch) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2.5/1Mvs$10/1M
Input price
$0.5/1Mvs$1.25/1M
Context window
200kvs400k
Anthropic: Claude Haiku 4.5 (batch): 2WGPT-5: 1W

Side-by-Side Benchmark Matrix

Preference Elo
Anthropic: Claude Haiku 4.5 (batch)—
GPT-51,558
lmarena · Aug 17, 2026
Coding Elo
Anthropic: Claude Haiku 4.5 (batch)—
GPT-51,540
lmarena · Aug 17, 2026
LiveBench
Anthropic: Claude Haiku 4.5 (batch)—
GPT-569.8%
livebench · Aug 17, 2026
SWE-bench
Anthropic: Claude Haiku 4.5 (batch)—
GPT-568.4%
swebench · Aug 17, 2026
GPQA Diamond
Anthropic: Claude Haiku 4.5 (batch)—
GPT-585.2%
seed-bootstrap · Aug 1, 2026
Time to first token
Anthropic: Claude Haiku 4.5 (batch)—
GPT-5290 ms
seed-bootstrap · Aug 1, 2026
Output speed
Anthropic: Claude Haiku 4.5 (batch)—
GPT-578 tok/s
seed-bootstrap · Aug 1, 2026
Input priceAnthropic: Claude Haiku 4.5 (batch) (+$0.75/1M)
Anthropic: Claude Haiku 4.5 (batch)$0.5/1M
openrouter · Aug 17, 2026
GPT-5$1.25/1M
openrouter · Aug 17, 2026
Output priceAnthropic: Claude Haiku 4.5 (batch) (+$7.5/1M)
Anthropic: Claude Haiku 4.5 (batch)$2.5/1M
openrouter · Aug 17, 2026
GPT-5$10/1M
openrouter · Aug 17, 2026
Context windowGPT-5 (+200k)
Anthropic: Claude Haiku 4.5 (batch)200k
openrouter · Aug 17, 2026
GPT-5400k
openrouter · Aug 17, 2026
BenchmarkAnthropic: Claude Haiku 4.5 (batch)GPT-5Advantage Delta
Preference Elo—
1,558
lmarena · Aug 17, 2026
—
Coding Elo—
1,540
lmarena · Aug 17, 2026
—
LiveBench—
69.8%
livebench · Aug 17, 2026
—
SWE-bench—
68.4%
swebench · Aug 17, 2026
—
GPQA Diamond—
85.2%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
290 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
78 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.5/1M
openrouter · Aug 17, 2026
$1.25/1M
openrouter · Aug 17, 2026
Anthropic: Claude Haiku 4.5 (batch) (+$0.75/1M)
Output price
$2.5/1M
openrouter · Aug 17, 2026
$10/1M
openrouter · Aug 17, 2026
Anthropic: Claude Haiku 4.5 (batch) (+$7.5/1M)
Context window
200k
openrouter · Aug 17, 2026
400k
openrouter · Aug 17, 2026
GPT-5 (+200k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 72% with Anthropic: Claude Haiku 4.5 (batch)
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Anthropic: Claude Haiku 4.5 (batch)$55.00 / mo
In: $17.5Out: $37.5
GPT-5$193.75 / mo
In: $43.75Out: $150
Estimated Cost Delta

Anthropic: Claude Haiku 4.5 (batch) is estimated to save $138.75/month ($1,665/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Anthropic: Claude Haiku 4.5 (batch):Pick Anthropic: Claude Haiku 4.5 (batch) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAnthropic: Claude Haiku 4.5 (batch)

Lower output list price ($2.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5

Larger window (400k).

Screenshots / visionGPT-5

GPT-5 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatAnthropic: Claude Haiku 4.5 (batch)Lower output list price ($2.5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGPT-5Larger window (400k).
Screenshots / visionGPT-5GPT-5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 8, 2025

GPT-5 (2025) remains the legacy OpenAI flagship baseline

Still a common compare target. 5.6 Sol replaced it as the buy; GPT-5 stays for old URLs.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/claude-haiku-4-5-batch-vs-gpt-5/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Anthropic

Anthropic: Claude Haiku 4.5 (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$2.5/1M
OpenAI

GPT-5

Elo 1,558
LiveBench69.8%
SWE-bench68.4%
Speed78 tok/s
Output cost$10/1M

Frequently Asked Questions

Which is better overall, Anthropic: Claude Haiku 4.5 (batch) or GPT-5?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Anthropic: Claude Haiku 4.5 (batch) or GPT-5?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Anthropic: Claude Haiku 4.5 (batch) output tokens are $2.5/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Anthropic: Claude Haiku 4.5 (batch) or GPT-5?
We do not have TTFT for both models.
Which has the larger context window?
GPT-5 accepts 400k tokens versus 200k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Anthropic: Claude Haiku 4.5 (batch) and GPT-5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 8, 2025

    GPT-5 (2025) remains the legacy OpenAI flagship baseline

Similar Head-to-Head Comparisons

All Anthropic: Claude Haiku 4.5 (batch) matchups →|All GPT-5 matchups →
GPT-5 vs GPT-4.5 Orion (previous gpt-flagship)GPT-5 vs GPT-5.6 Sol (next gpt-flagship)Claude Opus 4.5 vs GPT-5Claude Opus 4.6 vs GPT-5Claude Sonnet 4.5 vs GPT-5Claude Opus 5 vs GPT-5