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

Claude 3 Opus vs Anthropic: Claude Opus 4.8 (Fast) benchmark

Name: Claude 3 Opus vs Anthropic: Claude Opus 4.8 (Fast) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3 Opus (Anthropic) and Anthropic: Claude Opus 4.8 (Fast) (Anthropic) using the latest snapshots we have as of Aug 17, 2026. Anthropic: Claude Opus 4.8 (Fast) wins on output price at $50/1M. Anthropic: Claude Opus 4.8 (Fast) has the larger context window (1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

Anthropic

Claude 3 Opus

Original Claude 3 flagship. Kept so opus 3 vs later Opus and vs GPT-4o still resolve.

Elo 1,248$75/1M out

Anthropic

Anthropic: Claude Opus 4.8 (Fast)

Auto-discovered from OpenRouter (anthropic/claude-opus-4.8-fast). Preview until a second source matches.

$50/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3 Opus (6)vsAnthropic: Claude Opus 4.8 (Fast) (3)

Claude 3 Opus: 6W (67%)Overall: Claude 3 OpusAnthropic: Claude Opus 4.8 (Fast): 3W (33%)

← Claude 3 OpusAnthropic: Claude Opus 4.8 (Fast) →

Claude 3 Opus (4/5)

Intelligence & Reasoning

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

Preference Elo

1,248vs—

Coding Elo

—vs—

SWE-bench

38.4%vs—

LiveBench

46.2%vs—

GPQA Diamond

50.4%vs—

Claude 3 Opus: 4WAnthropic: Claude Opus 4.8 (Fast): 0W

Claude 3 Opus (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

48 tok/svs—

Time to first token

420 msvs—

Claude 3 Opus: 2WAnthropic: Claude Opus 4.8 (Fast): 0W

Anthropic: Claude Opus 4.8 (Fast) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$50/1M

Input price

$15/1Mvs$10/1M

Context window

200kvs1M

Claude 3 Opus: 0WAnthropic: Claude Opus 4.8 (Fast): 3W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageClaude 3 Opus 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

Anthropic: Claude Opus 4.8 (Fast)

$25.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,248

EloHigh is better

—

LiveBench

High is better

46.2%

LiveBenchHigh is better

—

SWE-bench

High is better

38.4%

SWE-benchHigh is better

—

GPQA

High is better

50.4%

GPQAHigh is better

—

TTFT

Low is better

420 ms

TTFTLow is better

—

Speed

High is better

48 tok/s

SpeedHigh is better

—

In $

Low is better

$15.00 / 1M

In $Low is better

$10.00 / 1M+50%

Out $

Low is better

$75.00 / 1M

Out $Low is better

$50.00 / 1M+50%

Context

High is better

200k

ContextHigh is better

1M+400%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 33% with Anthropic: Claude Opus 4.8 (Fast)

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 Opus$1,650.00 / mo

In: $525Out: $1,125

Anthropic: Claude Opus 4.8 (Fast)$1,100.00 / mo

In: $350Out: $750

Estimated Cost Delta

Anthropic: Claude Opus 4.8 (Fast) is estimated to save $550.00/month ($6,600/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Anthropic: Claude Opus 4.8 (Fast):Pick Anthropic: Claude Opus 4.8 (Fast) when you are optimizing output cost.
2
Anthropic: Claude Opus 4.8 (Fast):Pick Anthropic: Claude Opus 4.8 (Fast) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAnthropic: Claude Opus 4.8 (Fast)

Lower output list price ($50/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAnthropic: Claude Opus 4.8 (Fast)

Larger window (1M).

Screenshots / visionClaude 3 Opus

Claude 3 Opus is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Anthropic: Claude Opus 4.8 (Fast)	Lower output list price ($50/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Anthropic: Claude Opus 4.8 (Fast)	Larger window (1M).
Screenshots / vision	Claude 3 Opus	Claude 3 Opus is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/claude-3-opus-vs-claude-opus-4-8-fast/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

Anthropic

Claude 3 Opus

Elo 1,248

LiveBench46.2%

SWE-bench38.4%

Speed48 tok/s

Output cost$75/1M

Anthropic

Anthropic: Claude Opus 4.8 (Fast)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$50/1M

Frequently Asked Questions

Which is better overall, Claude 3 Opus or Anthropic: Claude Opus 4.8 (Fast)?: 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 Opus or Anthropic: Claude Opus 4.8 (Fast)?: 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?: Anthropic: Claude Opus 4.8 (Fast) output tokens are $50/1M versus $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3 Opus or Anthropic: Claude Opus 4.8 (Fast)?: We do not have TTFT for both models.
Which has the larger context window?: Anthropic: Claude Opus 4.8 (Fast) accepts 1M 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 Opus and Anthropic: Claude Opus 4.8 (Fast) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude 3 Opus matchups →|All Anthropic: Claude Opus 4.8 (Fast) matchups →

Claude 3 Opus vs Claude Opus 4 (next opus)Claude Opus 4.5 vs Claude 3 Opus Claude Opus 4.6 vs Claude 3 Opus Claude Sonnet 4.5 vs Claude 3 Opus Claude Opus 5 vs Claude 3 Opus Claude Fable 5 vs Claude 3 Opus

Claude 3 Opus vs Anthropic: Claude Opus 4.8 (Fast) benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3 Opus (6)vsAnthropic: Claude Opus 4.8 (Fast) (3)

Claude 3 Opus: 6W (67%)Overall: Claude 3 OpusAnthropic: Claude Opus 4.8 (Fast): 3W (33%)

← Claude 3 OpusAnthropic: Claude Opus 4.8 (Fast) →

Claude 3 Opus (4/5)

Intelligence & Reasoning

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

Preference Elo

1,248vs—

Coding Elo

—vs—

SWE-bench

38.4%vs—

LiveBench

46.2%vs—

GPQA Diamond

50.4%vs—

Claude 3 Opus: 4WAnthropic: Claude Opus 4.8 (Fast): 0W

Claude 3 Opus (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

48 tok/svs—

Time to first token

420 msvs—

Claude 3 Opus: 2WAnthropic: Claude Opus 4.8 (Fast): 0W

Anthropic: Claude Opus 4.8 (Fast) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$50/1M

Input price

$15/1Mvs$10/1M

Context window

200kvs1M

Claude 3 Opus: 0WAnthropic: Claude Opus 4.8 (Fast): 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAnthropic: Claude Opus 4.8 (Fast)

Lower output list price ($50/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAnthropic: Claude Opus 4.8 (Fast)

Larger window (1M).

Screenshots / visionClaude 3 Opus

Claude 3 Opus is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Anthropic: Claude Opus 4.8 (Fast)	Lower output list price ($50/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Anthropic: Claude Opus 4.8 (Fast)	Larger window (1M).
Screenshots / vision	Claude 3 Opus	Claude 3 Opus is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude 3 Opus or Anthropic: Claude Opus 4.8 (Fast)?

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 Opus or Anthropic: Claude Opus 4.8 (Fast)?

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?

Anthropic: Claude Opus 4.8 (Fast) output tokens are $50/1M versus $75/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3 Opus or Anthropic: Claude Opus 4.8 (Fast)?

We do not have TTFT for both models.

Which has the larger context window?

Anthropic: Claude Opus 4.8 (Fast) accepts 1M 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 Opus and Anthropic: Claude Opus 4.8 (Fast) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.