Command A Reasoning vs o3
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Command A Reasoning dari Cohere dan o3 dari OpenAI adalah dua model AI unggulan. Command A Reasoning menawarkan jendela konteks 256K token dengan harga $2.50/$10.00 per 1 juta token, sedangkan o3 menyediakan konteks 200K token seharga $2.00/$8.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Command A Reasoning
Penalaran Bobot TerbukaCommand A Reasoning dari Cohere adalah model AI yang dirancang untuk penalaran rantai pemikiran (Chain-of-Thought) berbobot terbuka yang sangat efisien, menghadirkan jendela konteks 256K, kecepatan 55 token/detik, indeks kecerdasan 55/100,
$2.50 / 1M
$10.00 / 1M
256K tokens
53%
o3
Mesin Penalaran Mendalamo3 dari OpenAI adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 200K, kecepatan 75 token/detik, indeks kecerdasan 56/100, serta tarif $2/$8 per 1M to
$2.00 / 1M
$8.00 / 1M
200K tokens
69.1%
Perbedaan Utama Sekilas
- o3 is 1.3x cheaper for API usage (input + output tokens combined).
- Command A Reasoning has a larger context window (256K vs 200K tokens).
- o3 is faster at 75 tok/s vs 55 tok/s.
- o3 leads on SWE-bench coding (69.1% vs 53.0%).
| Feature | Command A Reasoning | o3 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 55 | 56 |
Provider | Cohere | OpenAI |
Input Price Cost per million input tokens | $2.50 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $10.00 / 1M | $8.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $2.02 / 1M | $1.55 / 1M |
Context Window Maximum input + output tokens | 256K tokens~384 A4 pages of text | 200K tokens~300 A4 pages of text |
Max Output Tokens Per single request | 33K | 100K |
Throughput Speed Tokens generated per second | 55 tok/s | 75 tok/s |
SWE-bench Verified Real-world software engineering | 53% | 69.1% |
GPQA Diamond Graduate-level reasoning | 70% | 76.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.75 / 1M | $0.50 / 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.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
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.
Command A Reasoning · Strengths & Key Advantages
- Jendela konteks 256K dengan kapasitas output maksimum hingga 33K token (SWE-bench Verified 53% · GPQA Diamond 70%)
- Kecepatan generasi tinggi 55 token/detik dengan latensi token pertama (TTFT) hanya 750 ms
- Bobot terbuka (Confidential (~100B+)) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama
Considerations & Trade-offs
- Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
- Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya
o3 · Strengths & Key Advantages
- Jendela konteks 200K dengan kapasitas output maksimum hingga 100K token (SWE-bench Verified 69.1% · GPQA Diamond 76.5%)
- Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 2800 ms
- Skema harga API kompetitif (tarif $2/$8 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Command A Reasoning | o3 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.95 | $1.35 |
Output Tokens / Task Tokens generated per task | 45K | 48K |
Reasoning Tokens / Task Thinking tokens burned per task | 22K | 26K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Command A Reasoning | o3 |
|---|---|---|
| Official API Model ID (SDK) | command-a-reasoning | o3 |
| API Protocol | OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2025-08 | 2025-04 |
| Knowledge Cutoff | June 2025 | June 2024 |
| Architecture | Enterprise Chain-of-Thought Reasoning Transformer | Reasoning transformer with adjustable thinking effort |
| Parameters | Confidential (~100B+) | Confidential |
| Enterprise Rate Limits (RPM / TPM) | Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($2.5/1M in) across full 256K window | Flat rate ($2/1M in) across full 200K window |
| Prompt Cache Policy & TTL | Cached input at $0.75/1M tokens | Automatic prefix caching at $0.5/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | 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 | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory) | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| Multimodal Token Billing | Text BPE (~4 chars/token) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) |
| Quantization & Min GPU VRAM | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 62 GB VRAM (4-bit Quantized) · 215 GB VRAM (Native BF16) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma) | OpenAI Preparedness Framework Audited & System Card Published |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text | text, vision |
| Output Modalities | text | text |
Command A Reasoning vs o3: Jawaban Cepat (FAQ)
Which is more intelligent, Command A Reasoning or o3?
o3 is more intelligent. It scores 56 compared with 55 on the composite Intelligence Index.
Which model is faster?
o3 is faster, generating 75 tokens per second compared with 55 tokens per second.
Which model is cheaper to run?
o3 is cheaper at $1.55 per 1M tokens blended, compared with $2.02 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Command A Reasoning has lower latency, with a time to first token of 0.75s compared with 2.80s.
Which model has a larger context window?
Command A Reasoning has a larger context window, supporting 256K tokens compared with 200K tokens.
Kesimpulan
Baik Command A Reasoning (Sangat cocok untuk penalaran rantai pemikiran (Chain-of-Thought) berbobot terbuka yang sangat efisien, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun o3 (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: o3 unggul dalam penalaran dan pemrograman, o3 memberikan kecepatan generasi token lebih tinggi, dan o3 lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Command A Reasoning atau o3?+
Dalam indeks kecerdasan gabungan dan benchmark coding, o3 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Command A Reasoning vs o3?+
Command A Reasoning mengenakan biaya $2.50 / $10.00 per 1M token input/output, sedangkan o3 sebesar $2.00 / $8.00. Secara keseluruhan, o3 lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Command A Reasoning mendukung konteks 256K token dibandingkan 200K token pada o3, sementara o3 unggul dalam kecepatan output token per detik.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- Command A Plus vs Command A Reasoning: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Grok 4.20 (Reasoning) vs o3: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- OpenAI o1 vs o3: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- o3 vs Claude Opus 4.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- o3 vs DeepSeek-R1-0528: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- o3 vs Magistral Medium: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
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: Dokumentasi API resmi Cohere & OpenAI serta evaluasi benchmark independen (2026).