Compare

Claude Opus 4.8 vs Kimi-K2.7-Code

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
Kimi-K2.7-Code
moonshot/kimi-k2.7-code
Provider
Anthropic
Moonshot
Family
Claude 4
Kimi
Modality
text
text
Context window
1,000,000 tok
262,144 tok
Max output
128,000 tok
16,384 tok
Released
2026-05-28
2026-06-12
License
Proprietary
Open-weight
Input price
$5.00 /1M
$0.950 /1M
Output price
$25.00 /1M
$4.00 /1M
Cache read
$0.500 /1M
Cache write
$6.25 /1M
Tools
yes
yes
Streaming
yes
yes
Vision
yes
yes
JSON mode
yes
yes
Reasoning
yes
yes
Prompt caching
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)
Kimi-K2.7-Code
moonshot/kimi-k2.7-code
Full spec →

Kimi K2.7 is a frontier-scale open-source 1T parameter model with a 262.1k context window, multi-turn tool calling, vision inputs, and structured outputs for agentic workloads.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

Benchmarks

Claude Opus 4.8
Kimi-K2.7-Code
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

Kimi-K2.7-Code vs Claude Opus 4.7
moonshot/kimi-k2.7-code · anthropic/claude-opus-4.7
Kimi-K2.7-Code vs GPT-5.4
moonshot/kimi-k2.7-code · openai/gpt-5.4
Gemini 3.1 Pro vs Kimi-K2.7-Code
google/gemini-3.1-pro · moonshot/kimi-k2.7-code
Kimi-K2.7-Code vs Kimi-K2.6
moonshot/kimi-k2.7-code · moonshot/kimi-k2.6
Kimi-K2.7-Code vs Llama-4-Scout-17b-16e-Instruct
moonshot/kimi-k2.7-code · meta/llama-4-scout-17b-16e-instruct
Claude Fable 5 vs Claude Opus 4.8
anthropic/claude-fable-5 · anthropic/claude-opus-4.8
Claude Fable 5 vs Kimi-K2.7-Code
anthropic/claude-fable-5 · moonshot/kimi-k2.7-code
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
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"}],
)

# Kimi-K2.7-Code
client.chat.completions.create(
    model="moonshot/kimi-k2.7-code",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →