Claude 3.5 Haiku
claude-3-5-haiku
70% in · 30% out mix
Higher = better value
Speed
97/100
Context
200K
Tier
fast
Claude Haiku 4.5
claude-haiku-4-5
70% in · 30% out mix
Higher = better value
Speed
97/100
Context
200K
Tier
fast
IN-DEPTH ANALYSIS
Claude 3.5 Haiku vs Claude Haiku 4.5: Detailed Comparison
Claude 3.5 Haiku is Anthropic's lightweight-tier language model with a 200K-token context window, excelling at data extraction. Claude Haiku 4.5 from Anthropic is a lightweight-tier model supporting 200K tokens in context, with standout performance in data extraction.
This is a genuine tradeoff rather than a clear win. Claude Haiku 4.5 leads by 3 points on combined coding and reasoning, and charges 20% more per blended million tokens to do it. The margin is narrow enough that the answer depends on your workload: on tasks where the extra capability shows up, the premium pays for itself; on routine work it does not. Claude 3.5 Haiku is priced at $0.80/M input tokens and $4.00/M output tokens. Claude Haiku 4.5 costs $1.00/M input and $5.00/M output.
In independent benchmark evaluations, Claude Haiku 4.5 leads with coding scores of 83/100 and reasoning scores of 82/100, compared to Claude 3.5 Haiku's 82/100 in coding and 80/100 in reasoning.
Capability breakdown
Across the five core benchmark categories, here is how Claude 3.5 Haiku and Claude Haiku 4.5 stack up head to head:
Best model by task
- coding: Claude Haiku 4.5 wins with 83/100
- reasoning: Claude Haiku 4.5 wins with 82/100
- data extraction: Claude Haiku 4.5 wins with 91/100
- creative tasks: Claude Haiku 4.5 wins with 82/100
- vision/multimodal: Claude Haiku 4.5 wins with 80/100
Estimated monthly cost at scale
At 10M + 2M per month, Claude 3.5 Haiku runs about $16.00 while Claude Haiku 4.5 runs about $20.00 — Claude 3.5 Haiku saves roughly $4.00 (20%) every month.
What actually decides it
Both models come from Anthropic, so they share a tokenizer, an API surface, and a billing account. Switching between them is a model-string change and nothing else — no new SDK, no re-tokenizing your prompts to re-estimate cost, no second vendor to onboard. That makes routing between them far cheaper to implement than a cross-vendor split.
These are the same lab's model at the same tier, 11 months apart — so this is an upgrade question, not a choice between alternatives. Claude Haiku 4.5 is the current entry; Claude 3.5 Haiku is here because plenty of production traffic still runs on it. If you are starting something new there is little reason to pick the older one, and if you are already on it the question is whether the migration cost is worth the gain.
Context is effectively a tie: 200K against 200K. Neither model unlocks a document size the other cannot handle, so this axis should not enter the decision. If you were hoping context would break the tie for you, it will not.
Throughput is close enough to ignore — 97/100 versus 97/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.
Neither model is the obvious answer. Claude Haiku 4.5 leads on benchmarks, Claude 3.5 Haiku on cost, and the gap is small on both. Run the calculator above with your real token mix — for most workloads that decides it faster than any benchmark table will.
Benchmark Comparison
Head-to-head scores across 5 categories — sourced from official evals
Coding
Reasoning
Extraction
Creative
Vision
Speed Score
Context Window
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!"
- Claude 3.5 Haiku
- $0.35
- Claude Haiku 4.5
- $0.43
Business email
One typical email (~200 words)
- Claude 3.5 Haiku
- $23.33
- Claude Haiku 4.5
- $29.16
Code file
50-line Python script
- Claude 3.5 Haiku
- $34.56
- Claude Haiku 4.5
- $43.20
Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both Claude 3.5 Haiku and Claude Haiku 4.5, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.
How to check your token usage
response.usage.total_tokensEvery 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
Claude 3.5 Haiku
$52.80/mo
$633.60/yr
Claude Haiku 4.5
$66.00/mo
$792.00/yr
Annual Savings
$158.40 saved per year
Claude 3.5 Haiku cheaper · $13.20/mo
Deep-Dive Audit — Claude 3.5 Haiku & Claude Haiku 4.5
Surgically Auditing: Deep Logic
3-YEAR STRATEGIC LOSS PROJECTION
$84.204
Without optimization protocols, current model choices will result in $28.068 capital loss per year.
EFFICIENCY SCORE
80%
This model achieves a 80 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 Fable 5
According to MMLU-Pro + GPQA Diamond (Apr 2026) data, Claude Fable 5 provides the optimum balance for Deep Logic tasks.
Market Score
%100
Savings Rate
%49
Operational Prescription
- Implement model cascading to optimize token spend.
- Analyze complex_reasoning data to leverage local semantic caching.
COST AUDIT PROTOCOL
Overkill Detected
"Claude 3.5 Haiku is overpriced for this task type. Claude Fable 5 scores 100 in this category at a fraction of the cost."
Categorical Alternative Opportunity
"Claude Fable 5 leads this category with 100 points according to MMLU-Pro + GPQA Diamond (Apr 2026) data."
Inertia Tax Detected
"85% of traffic can be routed to cheaper models. Fast tier (GPT-5 Nano) and Smart tier (o3-mini) can save $2.34/month."
3-Tier Intelligent Routing Architecture
49% SAVINGS VIA ROUTINGGPT-5 Nano
IQ Score: 72/100
$18.00/yr
o3-mini
IQ Score: 97/100
$277.20/yr
DeepSeek R1
IQ Score: 97/100
$59.184/yr
Without tiered routing, you pay the 'Inertia Tax' — routing all traffic to the most expensive model regardless of task complexity. Tiered cascade eliminates $336.816/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 |
|---|---|---|---|---|---|
DeepSeek V3 | 91/100 | $0.28 | $0.42 | $8.40 | 45/100 |
GPT-5.6 Luna | 85/100 | $0.20 | $1.20 | $16.80 | 21/100 |
DeepSeek V3.2 | 83/100 | $0.26 | $0.38 | $7.68 | 45/100 |
Claude Haiku 4.5 | 82/100 | $1.00 | $5.00 | $72.00 | 5/100 |
Gemini 2.0 Flash | 81/100 | $0.10 | $0.40 | $6.00 | 56/100 |
Claude 3.5 HaikuSELECTED | 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 Mini | 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).
// 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 Fable 5", prompt);
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