Compare

Claude Opus 4.8 vs Claude Opus 4.6

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

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Claude Opus 4.8
anthropic/claude-opus-4.8
Claude Opus 4.6
anthropic/claude-opus-4.6
Provider
Anthropic
Anthropic
Family
Claude 4
Claude 4
Modality
text
text
Context window
1,000,000 tok
1,000,000 tok
Max output
128,000 tok
128,000 tok
Released
2026-05-28
2026-05-22
License
Proprietary
Proprietary
Input price
$5.00 /1M
$5.00 /1M
Output price
$25.00 /1M
$25.00 /1M
Cache read
$0.500 /1M
$0.500 /1M
Cache write
$6.25 /1M
$6.25 /1M
Tools
yes
yes
Streaming
yes
yes
Vision
yes
yes
JSON mode
yes
yes
Reasoning
yes
yes
Prompt caching
yes
yes
Batch API
yes
Try it
Open in playground →
Open in playground →
Claude Opus 4.8
anthropic/claude-opus-4.8
Full spec →

Claude Opus 4.8 is Anthropic's most capable generally available model, with a step-change improvement in agentic coding over Claude Opus 4.7. It uses adaptive thinking to calibrate reasoning per task and supports a one million token context window at standard pricing.

Strengths
  • Anthropic's most capable model — #1 on the Artificial Analysis Intelligence Index
  • Best computer-use / browser agent tested (84% on Online-Mind2Web)
  • Adaptive thinking — calibrates reasoning depth per task
Use cases
Autonomous coding agentsCodebase-scale migrationsComputer use / browser agentsHigh-stakes reasoning + analysisLong-document work (1M context)
Claude Opus 4.6
anthropic/claude-opus-4.6
Full spec →

Claude Opus 4.6 is Anthropic's flagship language model built for complex, multi-step work in coding, financial analysis, and legal reasoning. It uses extended thinking to work through complex problems carefully and features a one million token context window.

Strengths
  • Prior-gen Opus reasoning
  • Still strong on long-context tasks
Use cases
Long-context agentsPinned production workloads

Benchmarks

Claude Opus 4.8
Claude Opus 4.6
AA Intelligence Index
61.0
Online-Mind2Web (computer use)
84.0

Source: each provider's published benchmarks. Higher is better. Run an eval to compare on your own data.

Compare with another

Claude Opus 4.8 vs DeepSeek V4 Pro
anthropic/claude-opus-4.8 · deepseek/deepseek-v4-pro
Claude Opus 4.8 vs MiniMax M3
anthropic/claude-opus-4.8 · minimax/m3
Claude Opus 4.8 vs Gemini 3.1 Pro
anthropic/claude-opus-4.8 · google/gemini-3.1-pro
Claude Opus 4.8 vs Claude Sonnet 4.6
anthropic/claude-opus-4.8 · anthropic/claude-sonnet-4.6
Claude Opus 4.8 vs GPT-5.5
anthropic/claude-opus-4.8 · openai/gpt-5.5
Claude Opus 4.8 vs O3
anthropic/claude-opus-4.8 · openai/o3
Claude Opus 4.8 vs Gemini 2.5 Pro
anthropic/claude-opus-4.8 · google/gemini-2.5-pro
Claude Opus 4.8 vs Kimi-K2.7-Code
anthropic/claude-opus-4.8 · moonshot/kimi-k2.7-code
Claude Opus 4.8 vs Qwen 3.5 397B A17B
anthropic/claude-opus-4.8 · alibaba/qwen3.5-397b-a17b
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# Claude Opus 4.8
client.chat.completions.create(
    model="anthropic/claude-opus-4.8",
    messages=[{"role":"user","content":"hello"}],
)

# Claude Opus 4.6
client.chat.completions.create(
    model="anthropic/claude-opus-4.6",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →