Claude Mythos 5.1 vs Kimi K3
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Claude Mythos 5.1 by Anthropic against Kimi K3 by Moonshot AI across real-world coding, reasoning, token economics, and latency.
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Claude Mythos 5.1
Model Penalaran MendalamClaude Mythos 5.1 dari Anthropic adalah model AI canggih dengan jendela konteks 1M token serta harga API $15/1M token input dan $75/1M token output untuk pemrograman, penalaran, dan otomasi bisnis.
$15.00 / 1M
$75.00 / 1M
1M tokens
84.2%
Kimi K3
Model Open-WeightsKimi K3 dari Moonshot AI adalah model AI canggih dengan jendela konteks 1.0M token serta harga API $0/1M token input dan $0/1M token output untuk pemrograman, penalaran, dan otomasi bisnis.
$0.00 / 1M
$0.00 / 1M
1.05M tokens
74.5%
Perbedaan Utama Sekilas
- Kimi K3 is 1.0x cheaper for API usage (input + output tokens combined).
- Kimi K3 has a larger context window (1M vs 1M tokens).
- Claude Mythos 5.1 is faster at 60 tok/s vs 58 tok/s.
- Claude Mythos 5.1 leads on SWE-bench coding (84.2% vs 74.5%).
| Feature | Claude Mythos 5.1 | Kimi K3 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 88 | 93 |
Provider | Anthropic | Moonshot AI |
Input Price Cost per million input tokens | $15.00 / 1M | $0.00 / 1M |
Output Price Cost per million output tokens | $75.00 / 1M | $0.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $11.55 / 1M | $0.00 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 1.05M tokens~1,573 A4 pages of text |
Max Output Tokens Per single request | 128K | 131K |
Throughput Speed Tokens generated per second | 60 tok/s | 58 tok/s |
SWE-bench Verified Real-world software engineering | 84.2% | 74.5% |
GPQA Diamond Graduate-level reasoning | 82% | 79% |
Cached Input Price Prompt caching discount per 1M tokens | $1.50 / 1M | $0.00 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkSkor Benchmark Terverifikasi
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Tokens emitted per second during active generation streaming.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Claude Mythos 5.1 · Strengths & Key Advantages
- Arsitektur Restricted Frontier Autonomous Cognitive System mutakhir dari Anthropic dengan dukungan konteks 1M token
- Efisiensi biaya API yang kompetitif ($15/1M input, $75/1M output) dan respons cepat
- Performa andal dalam pembuatan kode, analisis logika, serta pemahaman multibahasa
Considerations & Trade-offs
- Penggunaan konteks berukuran penuh memerlukan pengelolaan anggaran token yang cermat
- Membutuhkan perancangan prompt yang tepat untuk kasus penggunaan industri spesifik
Kimi K3 · Strengths & Key Advantages
- Arsitektur Colossus-Scale Multimodal Sparse Mixture-of-Experts mutakhir dari Moonshot AI dengan dukungan konteks 1.0M token
- Efisiensi biaya API yang kompetitif ($0/1M input, $0/1M output) dan respons cepat
- Performa andal dalam pembuatan kode, analisis logika, serta pemahaman multibahasa
Considerations & Trade-offs
- Penggunaan konteks berukuran penuh memerlukan pengelolaan anggaran token yang cermat
- Membutuhkan perancangan prompt yang tepat untuk kasus penggunaan industri spesifik
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Claude Mythos 5.1 | Kimi K3 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $16.46 | $2.00 |
Output Tokens / Task Tokens generated per task | 72K | 35K |
Reasoning Tokens / Task Thinking tokens burned per task | 37K | 18K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Claude Mythos 5.1 | Kimi K3 |
|---|---|---|
| Official API Model ID (SDK) | claude-mythos-5-1-20260901 | kimi-k3 |
| API Protocol | Anthropic Messages API + AWS Bedrock + Vertex AI | OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI |
| Release Date | 2026-09 | 2026-07 |
| Knowledge Cutoff | June 2026 | March 2026 |
| Architecture | Restricted Frontier Autonomous Cognitive System | Colossus-Scale Multimodal Sparse Mixture-of-Experts |
| Parameters | Confidential | 2.8T total (MoE) |
| Enterprise Rate Limits (RPM / TPM) | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM | Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud |
| Long-Context Tier (>128K/200K) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Free across full context window (only KV-cache VRAM scales) |
| Prompt Cache Policy & TTL | $1.5/1M cached read (90% off); 5-min default & 1-hour extended TTL | Automatic prefix KV-caching in vLLM / SGLang (0 cost) |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Native Web Search Citations + Code Execution Tool + MCP Connectors | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools |
| Official Fine-Tuning Support | Custom Model Tuning via Amazon Bedrock & Prompt Distillation | Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory) |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) |
| Quantization & Min GPU VRAM | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 1736 GB VRAM (4-bit Quantized) · 6020 GB VRAM (Native BF16) |
| Safety & Frontier Classification | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated | Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma) |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control |
| Input Modalities | text, vision | text, vision |
| Output Modalities | text | text |
Claude Mythos 5.1 vs Kimi K3: Jawaban Cepat (FAQ)
Which is more intelligent, Claude Mythos 5.1 or Kimi K3?
Kimi K3 is more intelligent. It scores 93 compared with 88 on the composite Intelligence Index.
Which model is faster?
Claude Mythos 5.1 is faster, generating 60 tokens per second compared with 58 tokens per second.
Which model is cheaper to run?
Kimi K3 is cheaper at $0.00 per 1M tokens blended, compared with $11.55 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Kimi K3 has lower latency, with a time to first token of 0.72s compared with 1.60s.
Which model has a larger context window?
Kimi K3 has a larger context window, supporting 1.05M tokens compared with 1M tokens.
Kesimpulan
Choose Claude Mythos 5.1 for otomasi perusahaan, pengembangan perangkat lunak, agen ai, dan alur kerja produksi berbasis anthropic, or choose Kimi K3 for otomasi perusahaan, pengembangan perangkat lunak, agen ai, dan alur kerja produksi berbasis moonshot ai.
Pertanyaan Umum (FAQ)
Which is cheaper: Claude Mythos 5.1 or Kimi K3?+
Claude Mythos 5.1 costs $15/1M input and $75/1M output tokens, while Kimi K3 costs $0/1M input and $0/1M output tokens.
Which model has a larger context window: Claude Mythos 5.1 or Kimi K3?+
Claude Mythos 5.1 supports 1M tokens whereas Kimi K3 supports 1.0M tokens.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.
Sumber resmi: Anthropic & Moonshot AI Official Documentation