Which is more cost-effective, GPT-4o Mini or Claude 3.5 Haiku?

Based on 1M input + 1M output tokens, GPT-4o Mini costs $0.75/month versus Claude 3.5 Haiku at $4.80/month. The cheaper option depends on your token volume and prompt-to-completion ratio. Use the interactive calculator on this page to enter your exact usage.

How accurate is this cost comparison?

All pricing data is sourced from official provider APIs and updated regularly. iOPTERA calculates costs using your exact token ratios and benchmarks performance against SWE-bench, MMLU-Pro, and GPQA Diamond.

Which model scores higher on benchmarks?

GPT-4o Mini scores 74 in coding and 78 in reasoning benchmarks. Claude 3.5 Haiku scores 82 in coding and 80 in reasoning. See the full 5-category breakdown in the Benchmark Comparison section above.

What are the context window sizes of GPT-4o Mini and Claude 3.5 Haiku?

GPT-4o Mini supports a 128K-token context window while Claude 3.5 Haiku supports 200K tokens. A larger context window lets you process more text in a single API call.

Which model is faster for real-time applications?

GPT-4o Mini has a speed score of 97/100 and Claude 3.5 Haiku scores 97/100 on our latency benchmark. For interactive chatbots and low-latency tasks, the higher speed score is preferable.

Can I calculate costs for my specific token volume?

Yes. Use the interactive cost calculator on this page. Enter your monthly token volume and adjust the prompt-to-completion ratio. You can also use presets for common scenarios like Customer Support Bots (~30M tokens/month) or Document Summarizers (~15M tokens/month).

Back to Audit

OPTERA LABS

GPT-4o Mini VS Claude 3.5 Haiku

2026 Cost & Performance Comparison

Model A · OpenAI

GPT-4o Mini

gpt-4o-mini

Intelligence Score78%

Cost / 1M Tokens$0.28

70% in · 30% out mix

Value Index(score÷cost)

273.7

Higher = better value

Speed

97/100

Context

128K

Tier

fast

Model B · Anthropic

Claude 3.5 Haiku

claude-3-5-haiku

Intelligence Score80%

Cost / 1M Tokens$1.76

70% in · 30% out mix

Value Index(score÷cost)

45.5

Higher = better value

Speed

97/100

Context

200K

Tier

fast

IN-DEPTH ANALYSIS

GPT-4o Mini vs Claude 3.5 Haiku: Detailed Comparison

GPT-4o Mini is OpenAI's lightweight-tier language model with a 128K-token context window, excelling at data extraction. Claude 3.5 Haiku from Anthropic is a lightweight-tier model supporting 200K tokens in context, with standout performance in data extraction.

GPT-4o Mini is the more cost-efficient option in this comparison — it costs up to 84% less than Claude 3.5 Haiku on a typical prompt/completion mix. GPT-4o Mini is priced at $0.15/M input tokens and $0.60/M output tokens. Claude 3.5 Haiku costs $0.80/M input and $4.00/M output.

In independent benchmark evaluations, Claude 3.5 Haiku leads with coding scores of 82/100 and reasoning scores of 80/100, compared to GPT-4o Mini's 74/100 in coding and 78/100 in reasoning.

Claude 3.5 Haiku supports the larger context window at 200K tokens, useful for long-document analysis and large codebases. For latency-sensitive applications, GPT-4o Mini has a speed score of 97/100 versus Claude 3.5 Haiku's 97/100.

Choose GPT-4o Mini when cost efficiency is the priority; opt for Claude 3.5 Haiku when maximum performance is required. Claude 3.5 Haiku holds the edge in overall benchmark scores. Both models have distinct strengths — use the interactive calculator above to model costs for your exact token volume.

Benchmark Comparison

Head-to-head scores across 5 categories — sourced from official evals

CategoryGPT-4o MiniClaude 3.5Winner

Coding

Reasoning

Extraction

Creative

Vision

GPT-4o Mini: 3 wins

Claude 3.5 Haiku: 2 wins

GPT-4o Mini leads overall

Speed Score

97/100vs97/100

GPT-4oClaude

Context Window

128Kvs200K

GPT-4oClaude

What Is a Token?

Models don't read words — they process tokens.

A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.

Short phrase

"Hello, world!"

4 tokens

Business email

One typical email (~200 words)

~270 tokens

Code file

50-line Python script

~400 tokens

How to check your token usage

response.usage.total_tokens

Every API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.

Your Cost Calculator

Enter your actual monthly token usage to see real savings

Quick Presets

Monthly Token Volume

30.0M TOKENS

Prompt / Completion Split

Prompt 70%Completion 30%

CHEAPER

GPT-4o Mini

$8.55/mo

$102.60/yr

$0.15/M in$0.6/M out

Claude 3.5 Haiku

$52.80/mo

$633.60/yr

$0.8/M in$4/M out

Annual Savings

$531.00 saved per year

GPT-4o Mini cheaper · $44.25/mo

Deep-Dive Audit — GPT-4o Mini & Claude 3.5 Haiku

SURGICAL AUDIT LABFE69081C

Surgically Auditing: Deep Logic

Leakage_Detected

3-YEAR STRATEGIC LOSS PROJECTION

-$211.86

Without optimization protocols, current model choices will result in -$70.62 capital loss per year.

EFFICIENCY SCORE

78%

Deep Logic

This model achieves a 78 benchmark score in this category.

CATEGORY GAP

20 pts

Distance from Leader

Competitive Landscape Analysis

Source: MMLU-Pro + GPQA Diamond (Apr 2026)

Category Champion: Claude Opus 4.6

According to MMLU-Pro + GPQA Diamond (Apr 2026) data, Claude Opus 4.6 provides the optimum balance for Deep Logic tasks.

Market Score

%98

Savings Rate

%-785

Operational Prescription

Implement model cascading to optimize token spend.
Analyze complex_reasoning data to leverage local semantic caching.

COST_AUDIT_PROTOCOL

Categorical Fit

"GPT-4o Mini scores 78 in this category — a well-matched choice."

Categorical Alternative Opportunity

"Claude Opus 4.6 leads this category with 98 points according to MMLU-Pro + GPQA Diamond (Apr 2026) data."

Inertia Tax Detected

"85% of traffic can be routed to cheaper models. Fast tier (DeepSeek V3) and Smart tier (o3-mini) can save $-5.88/month."

3-Tier Intelligent Routing Architecture

-785% SAVINGS VIA ROUTING

Fast Tier

50%

DeepSeek V3

IQ Score: 91/100

$30.24/yr

Smart Tier

35%

o3-mini

IQ Score: 97/100

$277.20/yr

Power Tier

15%

Claude Opus 4.6

IQ Score: 98/100

$648.00/yr

Fast Tier 50%Smart Tier 35%Power Tier 15%

Without tiered routing, you pay the 'Inertia Tax' — routing all traffic to the most expensive model regardless of task complexity. Tiered cascade eliminates $0.00/year in avoidable overhead.

Deep Logic — Model Cost / Quality Matrix

Source: MMLU-Pro + GPQA Diamond (Apr 2026)

Model	Benchmark	Input (per M)	Output (per M)	Annual Cost*	Value Index
Claude Opus 4.6LEADER	98/100	$5.00	$25.00	$360.00	1/100
o3-mini	97/100	$1.10	$4.40	$66.00	6/100
DeepSeek R1	97/100	$0.55	$2.19	$32.88	12/100
GPT-5.2 Chat	96/100	$1.75	$14.00	$189.00	2/100
Claude 3.7 Sonnet	95/100	$3.00	$15.00	$216.00	2/100
Claude 3.5 Sonnet	93/100	$3.00	$15.00	$216.00	2/100
GPT-4.1	93/100	$2.00	$8.00	$120.00	3/100
DeepSeek V3	91/100	$0.14	$0.28	$5.04	75/100
Claude 3 Opus	90/100	$15.00	$75.00	$1,080.00	0/100
GPT-4o	90/100	$2.50	$10.00	$150.00	3/100
Gemini 3.1 Pro	89/100	$2.00	$12.00	$168.00	2/100
Gemini 2.0 Pro	88/100	$1.25	$5.00	$75.00	5/100
Llama 3.1 405B	88/100	$2.70	$2.70	$64.80	6/100
Gemini 1.5 Pro	87/100	$1.25	$5.00	$75.00	5/100
Mistral Large 2	86/100	$2.00	$6.00	$96.00	4/100
DeepSeek V3.2	83/100	$0.26	$0.38	$7.68	45/100
Gemini 2.0 Flash	81/100	$0.10	$0.40	$6.00	56/100
Claude 3.5 Haiku	80/100	$0.80	$4.00	$57.60	6/100
Llama 3 70B	79/100	$0.65	$2.75	$40.80	8/100
GPT-4o MiniSELECTED	78/100	$0.15	$0.60	$9.00	36/100
Gemini 1.5 Flash	76/100	$0.07	$0.30	$4.50	70/100
GPT-5 NanoBEST VALUE	72/100	$0.10	$0.15	$3.00	100/100
Claude 3 Haiku	70/100	$0.25	$1.25	$18.00	16/100

* Annual cost for given volumes. Value Index = Score / Cost (Higher = Best Value).

Tactical_Code_Gen

// iOPTERA Surgical Routing Wrapper
const auditModel = async (prompt: string) => {
  const complexity = measureComplexity(prompt);
  
  // Tactical Cascade Logic
  if (complexity < 0.45) {
    // Redirect simple tasks to efficient model
    return await llm.call("iOPTERA Optimization", prompt); 
  }
  
  // High-latency routing for complex reasoning
  return await llm.call("Claude Opus 4.6", prompt);
};

READY_TO_DEPLOY_IN_Vercel_Edge_OR_AWS_Lambda

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