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Cost and performance comparison

Claude Opus 4.8 vs Claude Opus 4.6

Model AAnthropic

Claude Opus 4.8

Capability score (editorial)96/100
Cost / 1M Tokens
$11.00
70% in · 30% out mix
≈ $15.73 for the same text, tokenizer included
Value Index (score÷cost)
6.1
Higher = better value
Speed
62/100
Context
1.0M
Tier
Power 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.

Check the source

How we verify prices

Model BAnthropic

Claude Opus 4.6

Capability score (editorial)96/100
Cost / 1M Tokens
$11.00
70% in · 30% out mix
≈ $12.10 for the same text, tokenizer included
Value Index (score÷cost)
7.9
Higher = better value
Speed
60/100
Context
1.0M
Tier
Power Tier

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

Its tokenizer produces about 10% 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.

Check the source

How we verify prices

In-depth analysis

Claude Opus 4.8 vs Claude Opus 4.6: Detailed Comparison

Claude Opus 4.8 is Anthropic's flagship-tier language model with a 1.0M-token context window, excelling at coding. Claude Opus 4.6 from Anthropic is a flagship-tier model supporting 1.0M tokens in context, with standout performance in coding.

This is a genuine tradeoff rather than a clear win. Claude Opus 4.8 leads by 1 points on combined coding and reasoning, and costs 23% more for the same text 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 Opus 4.8 is priced at $5.00/M input tokens and $25.00/M output tokens. Claude Opus 4.6 costs $5.00/M input and $25.00/M output.

Claude Opus 4.8 turns the same text into about 30% more tokens than Claude Opus 4.6, because their tokenizers differ — so comparing list prices per token understates what Claude Opus 4.8 costs. For the same text, split 70% input and 30% output and counted the way OpenAI's tokenizer counts it, Claude Opus 4.8 works out at about $15.73 per million tokens and Claude Opus 4.6 at $12.10. Every cost figure on this page includes that difference.

On iOPTERA's editorial scores, Claude Opus 4.8 leads with 97/100 for coding and 96/100 for reasoning, against Claude Opus 4.6's 96/100 and 96/100.

Capability breakdown

Across the five core benchmark categories, here is how Claude Opus 4.8 and Claude Opus 4.6 stack up head to head:

coding
97
96
reasoning
96
96
data extraction
95
95
creative tasks
95
95
vision/multimodal
94
94

Best model by task

  • coding: Claude Opus 4.8 wins with 97/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), Claude Opus 4.8 runs about $143.00 while Claude Opus 4.6 runs about $110.00 — Claude Opus 4.6 saves roughly $33.00 (23%) 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, 3 months apart — so this is an upgrade question, not a choice between alternatives. Claude Opus 4.8 is the current entry; Claude Opus 4.6 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: 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 — 62/100 versus 60/100. 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 Opus 4.8 leads on benchmarks, Claude Opus 4.6 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.

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 termClaude Opus 4.8Claude Opus 4.6
List price (input / output)$5.00 / $25.00$5.00 / $25.00
Cached input$0.5010% of the input price$0.5010% of the input price
Batch API50% off input and output50% off input and output
Long promptsNo surcharge across the 1M windowNo surcharge across the 1M window
Input with 80% cache hits$1.40$1.40

With 80% of input served from the cache, Claude Opus 4.6 costs 23% less than Claude Opus 4.8 for the same input text, counting each model's tokenizer.The tokenizer factor for Claude Opus 4.8, Claude Opus 4.6 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.

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

Capability scores

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

CategoryClaude OpusClaude OpusWinner

Coding

97
96
A

Reasoning

96
96
Tied

Extraction

95
95
Tied

Creative

95
95
Tied

Vision

94
94
Tied
Claude Opus 4.8: 1 wins
Claude Opus 4.6: 0 wins
Claude Opus 4.8 leads overall

Speed Score

62/100vs60/100
ClaudeClaude

Context Window

1000Kvs1000K
ClaudeClaude

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
Claude Opus 4.8
$2.86
Claude Opus 4.6
$2.20

Business email

One typical email (~200 words)

~270 tokens
Claude Opus 4.8
$193.05
Claude Opus 4.6
$148.50

Code file

50-line Python script

~400 tokens
Claude Opus 4.8
$286.00
Claude Opus 4.6
$220.00

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both Claude Opus 4.8 and Claude Opus 4.6, 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%

Claude Opus 4.8

$471.90/mo

$5,662.80/yr

$5.00/M input$25.00/M output
Cheaper

Claude Opus 4.6

$363.00/mo

$4,356.00/yr

$5.00/M input$25.00/M output

Annual Savings

$1,306.80 saved per year

Claude Opus 4.6 cheaper · $108.90/mo

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