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Cost and performance comparison

Gemini 3.8 Flash vs Claude Haiku 5.5

Model AGoogle

Gemini 3.8 Flash

Capability score (editorial)91/100
Cost / 1M Tokens
$1.65
70% in · 30% out mix
Value Index (score÷cost)
56.9
Higher = better value
Speed
95/100
Context
1.0M
Tier
Fast Tier

List price from the Google pricing page, verified October 12, 2026.

Introductory price until December 31, 2026; $1.50 / $7.50 from the day after.

Check the source

How we verify prices

Model BAnthropic

Claude Haiku 5.5

Capability score (editorial)91/100
Cost / 1M Tokens
$0.22
70% in · 30% out mix
≈ $0.31 for the same text, tokenizer included
Value Index (score÷cost)
289.3
Higher = better value
Speed
96/100
Context
1.0M
Tier
Fast Tier

List price from the Anthropic pricing page, verified October 12, 2026.

Its tokenizer produces about 43% more tokens than OpenAI's for the same text, so the real cost runs higher than the list price suggests. This is an estimate: the tokenizer has not been measured yet.

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How we verify prices

In-depth analysis

Gemini 3.8 Flash vs Claude Haiku 5.5: Detailed Comparison

Gemini 3.8 Flash is Google's lightweight-tier language model with a 1.0M-token context window, excelling at vision/multimodal. Claude Haiku 5.5 from Anthropic is a lightweight-tier model supporting 1.0M tokens in context, with standout performance in data extraction.

Claude Haiku 5.5 is both the cheaper and the stronger model here — for the same text it costs 80% less than Gemini 3.8 Flash and still leads on combined coding and reasoning by 1 points. There is no tradeoff to weigh on this pair: unless you need something specific from Gemini 3.8 Flash, the cheaper model is simply the better one. Gemini 3.8 Flash is priced at $0.75/M input tokens and $3.75/M output tokens. Claude Haiku 5.5 costs $0.10/M input and $0.50/M output.

Claude Haiku 5.5 turns the same text into about 47% more tokens than Gemini 3.8 Flash, because their tokenizers differ — so comparing list prices per token understates what Claude Haiku 5.5 costs. For the same text, split 70% input and 30% output and counted the way OpenAI's tokenizer counts it, Claude Haiku 5.5 works out at about $0.31 per million tokens and Gemini 3.8 Flash at $1.60. Every cost figure on this page includes that difference.

On iOPTERA's editorial scores, Claude Haiku 5.5 leads with 91/100 for coding and 91/100 for reasoning, against Gemini 3.8 Flash's 90/100 and 91/100.

Capability breakdown

Across the five core benchmark categories, here is how Gemini 3.8 Flash and Claude Haiku 5.5 stack up head to head:

coding
90
91
reasoning
91
91
data extraction
92
93
creative tasks
88
88
vision/multimodal
94
89

Best model by task

  • coding: Claude Haiku 5.5 wins with 91/100
  • data extraction: Claude Haiku 5.5 wins with 93/100
  • vision/multimodal: Gemini 3.8 Flash wins with 94/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), Gemini 3.8 Flash runs about $14.55 while Claude Haiku 5.5 runs about $2.86 — Claude Haiku 5.5 saves roughly $11.69 (80%) every month.

What actually decides it

Gemini 3.8 Flash and Claude Haiku 5.5 come from different labs, which means different tokenizers, different API shapes, and a second vendor relationship. The same English text does not produce the same token count on both, so a price-per-million comparison understates the difference — measure your own prompts on each before treating the headline rates as the full story.

Claude Haiku 5.5 and Gemini 3.8 Flash were released within 1 months of each other, so they are competing on the same evaluations under roughly the same conditions. That makes a direct benchmark comparison meaningful here in a way it usually is not — neither model has the advantage of being measured on a newer, easier set of tests.

Context is effectively a tie: 1.0M against 1.0M. 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 — 96/100 versus 95/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.

Claude Haiku 5.5 wins this comparison outright — cheaper and stronger. Choose Gemini 3.8 Flash only if it has a specific capability you need; on price and benchmarks it is behind on both.

What you actually pay

The list price is only the start. Prompt caching, batch processing and long prompts change the bill, and each provider sets them differently. Prices per 1M tokens.

Pricing terms beyond the list price, per 1M tokens
Pricing termGemini 3.8 FlashClaude Haiku 5.5
List price (input / output)$0.75 / $3.75$0.10 / $0.50
Cached input$0.07510% of the input price$0.0110% of the input price
Batch API50% off input and output50% off input and output
Long promptsNo surcharge across the 1.05M windowOver 100K tokens: $0.50 / $2.50
Input with 80% cache hits$0.21$0.028

With 80% of input served from the cache, Claude Haiku 5.5 costs 80% less than Gemini 3.8 Flash for the same input text, counting each model's tokenizer.The tokenizer factor for Gemini 3.8 Flash, Claude Haiku 5.5 is our estimate until it is measured.

The last row assumes 80% of input tokens are read from the cache, as in a chat app that re-sends a long system prompt or RAG over the same documents. Cache-write and storage charges are not included.

Claude also bills cache writes: 1.25× the input price for a 5-minute cache, 2× for one hour.

Gemini also bills cache storage by the hour.

Checked on October 8, 2026 against the pricing pages of Google, Anthropic.

Capability scores

iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us

CategoryGemini 3.8Claude HaikuWinner

Coding

90
91
B

Reasoning

91
91
Tied

Extraction

92
93
B

Creative

88
88
Tied

Vision

94
89
A
Gemini 3.8 Flash: 1 wins
Claude Haiku 5.5: 2 wins
Claude Haiku 5.5 leads overall

Speed Score

95/100vs96/100
GeminiClaude

Context Window

1049Kvs1000K
GeminiClaude

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
Gemini 3.8 Flash
$0.29
Claude Haiku 5.5
$0.06

Business email

One typical email (~200 words)

~270 tokens
Gemini 3.8 Flash
$19.64
Claude Haiku 5.5
$3.86

Code file

50-line Python script

~400 tokens
Gemini 3.8 Flash
$29.10
Claude Haiku 5.5
$5.72

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both Gemini 3.8 Flash and Claude Haiku 5.5, 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_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

30M tokens
Prompt 70%Completion 30%

Gemini 3.8 Flash

$48.02/mo

$576.18/yr

$0.75/M input$3.75/M output
Cheaper

Claude Haiku 5.5

$9.44/mo

$113.26/yr

$0.10/M input$0.50/M output

Annual Savings

$462.92 saved per year

Claude Haiku 5.5 cheaper · $38.58/mo

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