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  3. Claude 3.5 Haiku vs OpenAI: o4 Mini High (batch)

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

Claude 3.5 Haiku vs OpenAI: o4 Mini High (batch) benchmark

In this head-to-head showdown, OpenAI: o4 Mini High (batch) is more budget-friendly at $2.2/1M 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: Choose Claude 3.5 Haiku if your priority is peak reasoning, complex code generation, and top preference Elo. Choose OpenAI: o4 Mini High (batch) if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

OpenAI: o4 Mini High (batch) holds empirical advantage (2 of 2 metrics)

Coding / SWESWE-bench
Claude 3.5 HaikuTop code solve rate
ReasoningGPQA / Live
Claude 3.5 HaikuTop logical accuracy
Best Value$/1M Tok
OpenAI: o4 Mini High (batch)Lowest API billing cost
Speed / TokTok/Sec
Claude 3.5 HaikuFastest stream rate

Verified Advantage Breakdown

2 benchmarks evaluated across capability, speed, and cost

Claude 3.5 Haiku (0)OpenAI: o4 Mini High (batch) (2)
Claude 3.5 Haiku
0 of 2 Wins
Competitive baseline across remaining benchmarks
OpenAI: o4 Mini High (batch)
2 of 2 Wins
✓Input price✓Output price
Anthropic
Claude 3.5 Haiku

Previous cheap Claude. Haiku 4.5 is the current $1/$5 SKU.

Elo 1,224In: $0.8 · Out: $4/1M
OpenAI
Leads 2 of 2
OpenAI: o4 Mini High (batch)

Auto-discovered from OpenRouter (openai/o4-mini-high:batch). Preview until a second source matches.

In: $0.55 · Out: $2.2/1M
Top Rival Showdowns for Claude 3.5 Haiku
All Matchups
Compare vs:vs GPT-5vs 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 LeaderOpenAI: o4 Mini High (batch) Wins

OpenAI: o4 Mini High (batch)

$2.2 / 1M output

Capability Percentiles

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

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

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

Claude 3.5 Haiku (6)vsOpenAI: o4 Mini High (batch) (2)
Claude 3.5 Haiku: 6W (75%)Overall: Claude 3.5 HaikuOpenAI: o4 Mini High (batch): 2W (25%)
← Claude 3.5 Haiku1 tiesOpenAI: o4 Mini High (batch) →
🏆Claude 3.5 Haiku Leads(4/5)

Intelligence & Reasoning

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

Benchmark
Claude 3.5 HaikuvsOpenAI: o4 Mini High (batch)
Preference Elo
1,224vs—
Coding Elo
—vs—
SWE-bench
36.2%vs—
LiveBench
44.8%vs—
GPQA Diamond
54.1%vs—
Claude 3.5 Haiku: 4WOpenAI: o4 Mini High (batch): 0W
🏆Claude 3.5 Haiku Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude 3.5 HaikuvsOpenAI: o4 Mini High (batch)
Output speed
140 tok/svs—
Time to first token
110 msvs—
Claude 3.5 Haiku: 2WOpenAI: o4 Mini High (batch): 0W
🏆OpenAI: o4 Mini High (batch) Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude 3.5 HaikuvsOpenAI: o4 Mini High (batch)
Output price
$4/1Mvs$2.2/1M+$1.8/1M
Input price
$0.8/1Mvs$0.55/1M+$0.25/1M
Context window
200kvs200k
Claude 3.5 Haiku: 0WOpenAI: o4 Mini High (batch): 2W

Side-by-Side Benchmark Matrix

Claude 3.5 HaikuOpenAI: o4 Mini High (batch)
Preference Elo
Claude 3.5 Haiku1,224
OpenAI: o4 Mini High (batch)—
LiveBench
Claude 3.5 Haiku44.8%
OpenAI: o4 Mini High (batch)—
SWE-bench
Claude 3.5 Haiku36.2%
OpenAI: o4 Mini High (batch)—
GPQA Diamond
Claude 3.5 Haiku54.1%
OpenAI: o4 Mini High (batch)—
Time to first token
Claude 3.5 Haiku110 ms
OpenAI: o4 Mini High (batch)—
Output speed
Claude 3.5 Haiku140 tok/s
OpenAI: o4 Mini High (batch)—
Input priceOpenAI: o4 Mini High (batch) +$0.25/1M
Claude 3.5 Haiku$0.8/1M
OpenAI: o4 Mini High (batch)$0.55/1M
Output priceOpenAI: o4 Mini High (batch) +$1.8/1M
Claude 3.5 Haiku$4/1M
OpenAI: o4 Mini High (batch)$2.2/1M
Context window
Claude 3.5 Haiku200k
OpenAI: o4 Mini High (batch)200k
BenchmarkClaude 3.5 HaikuOpenAI: o4 Mini High (batch)Advantage Delta
Preference Elo
1,224
lmarena · Aug 17, 2026
——
LiveBench
44.8%
livebench · Aug 17, 2026
——
SWE-bench
36.2%
swebench · Aug 17, 2026
——
GPQA Diamond
54.1%
seed-bootstrap · Aug 1, 2026
——
Time to first token
110 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
140 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$0.8/1M
seed-bootstrap · Aug 1, 2026
$0.55/1M
openrouter · Aug 17, 2026
+$0.25/1M
Output price
$4/1M
seed-bootstrap · Aug 1, 2026
$2.2/1M
openrouter · Aug 17, 2026
+$1.8/1M
Context window
200k
seed-bootstrap · Aug 1, 2026
200k
openrouter · Aug 17, 2026
—

Workload Cost & Savings Calculator

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

Save 41% with OpenAI: o4 Mini High (batch)
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Claude 3.5 Haiku$88.00 / mo
In: $28Out: $60
OpenAI: o4 Mini High (batch)$52.25 / mo
In: $19.25Out: $33
Estimated Cost Delta

OpenAI: o4 Mini High (batch) is estimated to save $35.75/month ($429/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI: o4 Mini High (batch):Pick OpenAI: o4 Mini High (batch) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: o4 Mini High (batch)

Lower output list price ($2.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGClaude 3.5 Haiku

Larger window (200k).

Screenshots / visionClaude 3.5 Haiku

Claude 3.5 Haiku is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatOpenAI: o4 Mini High (batch)Lower output list price ($2.2/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGClaude 3.5 HaikuLarger window (200k).
Screenshots / visionClaude 3.5 HaikuClaude 3.5 Haiku is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Anthropic

Claude 3.5 Haiku

Elo 1,224
SWE-bench36.2%
Speed (tok/s)140 tok/s
Input / 1M Tokens$0.8/1M
Output / 1M Tokens$4/1M
OpenAI

OpenAI: o4 Mini High (batch)

Elo n/a
SWE-bench—
Speed (tok/s)200k
Input / 1M Tokens$0.55/1M
Output / 1M Tokens$2.2/1M

Frequently Asked Questions

Which is better overall, Claude 3.5 Haiku or OpenAI: o4 Mini High (batch)?
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, Claude 3.5 Haiku or OpenAI: o4 Mini High (batch)?
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?
OpenAI: o4 Mini High (batch) output tokens are $2.2/1M versus $4/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Haiku or OpenAI: o4 Mini High (batch)?
We do not have TTFT for both models.
Which has the larger context window?
Claude 3.5 Haiku accepts 200k 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. Claude 3.5 Haiku and OpenAI: o4 Mini High (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude 3.5 Haiku matchups →|All OpenAI: o4 Mini High (batch) matchups →
Claude 3.5 Haiku vs Claude Haiku 4.5 (next haiku)Claude Opus 4.5 vs Claude 3.5 HaikuClaude Opus 4.6 vs Claude 3.5 HaikuClaude Sonnet 4.5 vs Claude 3.5 HaikuGPT-5 vs Claude 3.5 HaikuGPT-4.5 Orion vs Claude 3.5 Haiku