← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Opus 5 vs Kimi K3

Detailed technical comparison between Claude Opus 5 (Anthropic) and Kimi K3 (Moonshot AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚑ Executive Summary & Verdict

Comparison Snapshot

Claude Opus 5: 3 WinsvsKimi K3: 3 Wins
Context Leader

Kimi K3

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Kimi K3

$3.00 / MTok
Anthropicactive

Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

View Claude Opus 5 Full Specs β†’
Moonshot AIactive

Kimi K3

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

View Kimi K3 Full Specs β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationClaude Opus 5Kimi K3
ProviderAnthropicMoonshot AI
Context Window1,000,000 tokens1,048,576 tokensπŸ†
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityBeta Access (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-07-242026-07-16

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 5

$5.00

Kimi K3

$3.00

Output Price per Million Tokens

Claude Opus 5

$25.00

Kimi K3

$15.00

πŸ’‘ Cost Ratio: Kimi K3 is 1.7x cheaper per input token than Claude Opus 5.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
81.2%vs78.6%+2.6% Claude Opus 5
Claude Opus 5 πŸ†
Kimi K3
HumanEvalPython coding & logic synthesis
79.4%vs76.8%+2.6% Claude Opus 5
Claude Opus 5 πŸ†
Kimi K3
MATHComplex mathematical problem solving
56.6%vs54.0%+2.6% Claude Opus 5
Claude Opus 5 πŸ†
Kimi K3
GPQAGraduate-level expert reasoning
38.6%vs39.4%+0.8% Kimi K3
Claude Opus 5
Kimi K3 πŸ†
HellaSwagCommonsense reasoning and inference
80.8%vs81.6%+0.8% Kimi K3
Claude Opus 5
Kimi K3 πŸ†
MT-BenchMulti-turn conversation flow quality
8.3%vs8.4%+0.1% Kimi K3
Claude Opus 5
Kimi K3 πŸ†

Claude Opus 5 Quirks & Gotchas

No developer gotchas reported.

Kimi K3 Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons