This model is deprecated. We only continue performance benchmarking for the default 10k input token workload. Results for other workloads are historical and no longer updated.

Anthropic has launched a newer model, Claude Opus 4.7 (max). We suggest considering it instead.

For more information, see comparison of Claude Opus 4.7 (max) to other models and API provider benchmarks for Claude Opus 4.7 (max).

Proprietary model

Released February 2026

Claude Opus 4.6 (Adaptive Reasoning, Max Effort) API Provider Benchmarking & Analysis

Model Comparison

This analysis is intended to support you in choosing the best API provider of Claude Opus 4.6 (Adaptive Reasoning, Max Effort) for your use-case.

Fastest

#1
AmazonAmazon
44.0 t/s
#2
GoogleGoogle
40.2 t/s
#3
AzureAzure
38.5 t/s
#4
AnthropicAnthropic
37.7 t/s

Output speed

Total 4 providers

Lowest Latency

#1
AmazonAmazon
7.25 s
#2
GoogleGoogle
8.88 s
#3
AzureAzure
15.02 s
#4
AnthropicAnthropic
19.56 s

Time to first answer token

Total 4 providers

Lowest Price

#1
AzureAzure
$3.85
#2
AnthropicAnthropic
$3.85
#3
AmazonAmazon
$3.85
#4
GoogleGoogle
$3.85

Blended price (per 1M tokens)

Total 4 providers

Claude Opus 4.6 (max) is available through 4 API providers, each offering different performance characteristics and pricing. Below is a comparison of the key metrics across providers.

  • For output speed, the top providers are Amazon (44.0 t/s), Google (40.2 t/s), and Azure (38.5 t/s).
  • For latency, Amazon (7.25s), Google (8.88s), and Azure (15.02s) offer the lowest time to first answer token.
  • For pricing, Azure (3.85), Anthropic (3.85), and Amazon (3.85) offer the lowest blended prices per 1M tokens.
  • Amazon offers the best performance with both the highest speed and lowest latency. For cost optimization, Azure provides the most competitive pricing.

Highlights

Output tokens per second · Higher is better
Seconds · Lower is better
USD per 1M tokens (blended) · Lower is better

Pricing

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Lower is better · 10,000 input tokens

Pricing: Blended Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended) · Lower is better

Pricing: Cache Discount

1 - (cache hit price / input price) · Higher is better

Output Speed vs. Price

Blended at 7:2:1 (cache-input-output) · Output speed: output tokens per second · USD per 1M tokens (blended)
Most attractive quadrant

Speed

Measured by Output Speed (tokens per second)

Output Speed: Claude Opus 4.6 (Adaptive Reasoning, Max Effort)

Output speed: output tokens per second · 10,000 input tokens

Latency vs. Output Speed

Latency: seconds to first token received · Output speed: output tokens per second · 10,000 input tokens
Most attractive quadrant

Latency

Measured by Time (seconds) to First Token

Time to First Answer Token

Seconds to first token received · Lower is better · 10,000 input tokens

End-to-End Response Time

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

End-to-End Response Time

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · 10,000 input tokens

Key Comparison Metrics & API Features

Microsoft Azure logoMicrosoft Azure
1M
Proprietary
--
38
16.51
29.51
--
Anthropic logoAnthropic
1M
Proprietary
--
38
19.75
33.02
--
Amazon Bedrock logoAmazon Bedrock
1M
Proprietary
--
44
13.08
24.45
--
Google logoGoogle
1M
Proprietary
--
40
12.47
24.92
--

Frequently Asked Questions

Common questions about Claude Opus 4.6 (Adaptive Reasoning, Max Effort) providers