Command A Plus vs Command A Reasoning
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Command A Plus dari Cohere dan Command A Reasoning dari Cohere adalah dua model AI unggulan. Command A Plus menawarkan jendela konteks 128K token dengan harga $3.00/$12.00 per 1 juta token, sedangkan Command A Reasoning menyediakan konteks 256K token seharga $2.50/$10.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Command A Plus
Model Dasar Bobot TerbukaCommand A Plus dari Cohere adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 128K, kecepatan 68 token/detik, indeks kecerdasan 58/100, serta tarif $3/$1
$3.00 / 1M
$12.00 / 1M
128K tokens
60.5%
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%
Perbedaan Utama Sekilas
- Command A Reasoning is 1.2x cheaper for API usage (input + output tokens combined).
- Command A Reasoning has a larger context window (256K vs 128K tokens).
- Command A Plus is faster at 68 tok/s vs 55 tok/s.
- Command A Plus leads on SWE-bench coding (60.5% vs 53.0%).
| Feature | Command A Plus | Command A Reasoning |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 58 | 55 |
Provider | Cohere | Cohere |
Input Price Cost per million input tokens | $3.00 / 1M | $2.50 / 1M |
Output Price Cost per million output tokens | $12.00 / 1M | $10.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $2.33 / 1M | $2.02 / 1M |
Context Window Maximum input + output tokens | 128K tokens~192 A4 pages of text | 256K tokens~384 A4 pages of text |
Max Output Tokens Per single request | 33K | 33K |
Throughput Speed Tokens generated per second | 68 tok/s | 55 tok/s |
SWE-bench Verified Real-world software engineering | 60.5% | 53% |
GPQA Diamond Graduate-level reasoning | 74% | 70% |
Cached Input Price Prompt caching discount per 1M tokens | $0.75 / 1M | $0.75 / 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.
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 Plus · Strengths & Key Advantages
- Jendela konteks 128K dengan kapasitas output maksimum hingga 33K token (SWE-bench Verified 60.5% · GPQA Diamond 74%)
- Kecepatan generasi tinggi 68 token/detik dengan latensi token pertama (TTFT) hanya 560 ms
- Bobot terbuka (Confidential (~180B+ MoE)) 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
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
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Command A Plus | Command A Reasoning |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.85 | $0.95 |
Output Tokens / Task Tokens generated per task | 45K | 45K |
Reasoning Tokens / Task Thinking tokens burned per task | 22K | 22K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Command A Plus | Command A Reasoning |
|---|---|---|
| Official API Model ID (SDK) | command-a-plus | command-a-reasoning |
| API Protocol | OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI | OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI |
| Release Date | 2026-05 | 2025-08 |
| Knowledge Cutoff | March 2026 | June 2025 |
| Architecture | Flagship Multimodal Agentic MoE | Enterprise Chain-of-Thought Reasoning Transformer |
| Parameters | Confidential (~180B+ MoE) | Confidential (~100B+) |
| Enterprise Rate Limits (RPM / TPM) | Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud | Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud |
| Long-Context Tier (>128K/200K) | Flat rate ($3/1M in) across full 128K window | Flat rate ($2.5/1M in) across full 256K window |
| Prompt Cache Policy & TTL | Cached input at $0.75/1M tokens | Cached input at $0.75/1M tokens |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) |
| 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 | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools |
| Official Fine-Tuning Support | Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory) | 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) |
| Quantization & Min GPU VRAM | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 112 GB VRAM (4-bit Quantized) · 387 GB VRAM (Native BF16) | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 62 GB VRAM (4-bit Quantized) · 215 GB VRAM (Native BF16) |
| Safety & Frontier Classification | Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma) | Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma) |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control | 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control |
| Input Modalities | text, vision | text |
| Output Modalities | text | text |
Command A Plus vs Command A Reasoning: Jawaban Cepat (FAQ)
Which is more intelligent, Command A Plus or Command A Reasoning?
Command A Plus is more intelligent. It scores 58 compared with 55 on the composite Intelligence Index.
Which model is faster?
Command A Plus is faster, generating 68 tokens per second compared with 55 tokens per second.
Which model is cheaper to run?
Command A Reasoning is cheaper at $2.02 per 1M tokens blended, compared with $2.33 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Command A Plus has lower latency, with a time to first token of 0.56s compared with 0.75s.
Which model has a larger context window?
Command A Reasoning has a larger context window, supporting 256K tokens compared with 128K tokens.
Kesimpulan
Baik Command A Plus (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun 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.) sangat tangguh: Command A Plus unggul dalam penalaran dan pemrograman, Command A Plus memberikan kecepatan generasi token lebih tinggi, dan Command A Reasoning lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Command A Plus atau Command A Reasoning?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Command A Plus memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Command A Plus vs Command A Reasoning?+
Command A Plus mengenakan biaya $3.00 / $12.00 per 1M token input/output, sedangkan Command A Reasoning sebesar $2.50 / $10.00. Secara keseluruhan, Command A Reasoning lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Command A Plus mendukung konteks 128K token dibandingkan 256K token pada Command A Reasoning, sementara Command A Plus 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 Claude Opus 5.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
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- Command A Plus vs Gemini 4 Argon: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Command A Plus vs GPT-6 Astra: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Command A Plus vs Nemotron 3 Ultra 550B A55B: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Command A Reasoning vs o3: 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 & Cohere serta evaluasi benchmark independen (2026).