Head-to-Head Model Comparison

Command A vs Aya Vision 32B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Command AProfile

Aya Vision 32BProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Cohere

Command A

Model Agen Otonom & Alat

Command A dari Cohere adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 256K, kecepatan 70 token/detik, indeks kecerdasan 51/100, serta

Intelligence Index51 / 100

Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

256K tokens

SWE-bench Verified:

46%

Cohere

Aya Vision 32B

Model Multibahasa Global

Aya Vision 32B dari Cohere adalah model AI yang dirancang untuk penerjemahan multibahasa yang akurat dan komunikasi perusahaan global, menghadirkan jendela konteks 16K, kecepatan 75 token/detik, indeks kecerdasan 45/100, serta tarif $0.35/$

Intelligence Index45 / 100

Input Token:

$0.35 / 1M

Output Token:

$0.80 / 1M

Context Window:

16K tokens

SWE-bench Verified:

32%

Perbedaan Utama Sekilas

Aya Vision 32B is 10.2x cheaper for API usage (input + output tokens combined).
Command A has a larger context window (256K vs 16K tokens).
Aya Vision 32B is faster at 75 tok/s vs 70 tok/s.
Command A leads on SWE-bench coding (46.0% vs 32.0%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Command A	Aya Vision 32B
Intelligence Index Composite reasoning & knowledge score (0-100)	51	45
Provider	Cohere	Cohere
Input Price Cost per million input tokens	$2.50 / 1M	$0.35 / 1M
Output Price Cost per million output tokens	$10.00 / 1M	$0.80 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.02 / 1M	$0.21 / 1M
Context Window Maximum input + output tokens	256K tokens~384 A4 pages of text	16K tokens~24 A4 pages of text
Max Output Tokens Per single request	16K	4K
Throughput Speed Tokens generated per second	70 tok/s	75 tok/s
SWE-bench Verified Real-world software engineering	46%	32%
GPQA Diamond Graduate-level reasoning	61%	51.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.75 / 1M	$0.08 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Command A

+14.0% SWE-bench lead

Cost

Aya Vision 32B

10.2x cheaper monthly runtime

Speed

Aya Vision 32B

+7% faster generation

Context

Command A

256K tokens window

Skor Benchmark Terverifikasi

Official evaluation metrics verified by independent third-party research labs.

Command AAya Vision 32B

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

46%vs32%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

61%vs51.5%

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

81%vs74%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1335ptsvs1280pts

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

42%vsN/A

Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

84%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

70 tok/s vs75 tok/s

Latensi & Waktu Respons

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Command A0.52s

Aya Vision 32B0.48s

Est. End-to-End Response (500 tokens)TTFT + generation time

Command A7.66s

Aya Vision 32B7.15s

Simulator Biaya Token Interaktif

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Command A Monthly API Bill

$13.88 / month

$2.5/1M in · $10/1M out

Aya Vision 32B Monthly API Bill

$1.36 / month

$0.35/1M in · $0.8/1M out

Aya Vision 32B saves approximately $12.51 / month (90%) under this workload.10.2x Savings

Command A · Strengths & Key Advantages

Jendela konteks 256K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 46% · GPQA Diamond 61%)
Kecepatan generasi tinggi 70 token/detik dengan latensi token pertama (TTFT) hanya 520 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

Aya Vision 32B · Strengths & Key Advantages

Jendela konteks 16K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 32% · GPQA Diamond 51.5%)
Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 480 ms
Bobot terbuka (32B) 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
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Command A	Aya Vision 32B
Cost per Task Estimated USD to finish one task	$0.75	$0.22
Output Tokens / Task Tokens generated per task	38K	25K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Command A	Aya Vision 32B
Official API Model ID (SDK)	command-a	aya-vision-32b
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2025-03	2025-03
Knowledge Cutoff	January 2025	January 2025
Architecture	Agentic Enterprise Transformer	High-Capacity Multilingual VLM
Parameters	Confidential (~100B+)	32B
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 ($2.5/1M in) across full 256K window	Flat rate ($0.35/1M in) across full 16K window
Prompt Cache Policy & TTL	Cached input at $0.75/1M tokens	Cached input at $0.08/1M 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)	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)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 20 GB VRAM (4-bit Quantized) · 69 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	text, vision
Output Modalities	text	text

Command A vs Aya Vision 32B: Jawaban Cepat (FAQ)

Which is more intelligent, Command A or Aya Vision 32B?

Command A is more intelligent. It scores 51 compared with 45 on the composite Intelligence Index.

Which model is faster?

Aya Vision 32B is faster, generating 75 tokens per second compared with 70 tokens per second.

Which model is cheaper to run?

Aya Vision 32B is cheaper at $0.21 per 1M tokens blended, compared with $2.02 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Aya Vision 32B has lower latency, with a time to first token of 0.48s compared with 0.52s.

Which model has a larger context window?

Command A has a larger context window, supporting 256K tokens compared with 16K tokens.

Kesimpulan

Baik Command A (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Aya Vision 32B (Sangat cocok untuk penerjemahan multibahasa yang akurat dan komunikasi perusahaan global, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Command A unggul dalam penalaran dan pemrograman, Aya Vision 32B memberikan kecepatan generasi token lebih tinggi, dan Aya Vision 32B lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Command A atau Aya Vision 32B?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Command A memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Command A vs Aya Vision 32B?+

Command A mengenakan biaya $2.50 / $10.00 per 1M token input/output, sedangkan Aya Vision 32B sebesar $0.35 / $0.80. Secara keseluruhan, Aya Vision 32B lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Command A mendukung konteks 256K token dibandingkan 16K token pada Aya Vision 32B, sementara Aya Vision 32B unggul dalam kecepatan output token per detik.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Command A vs Aya Vision 32B

Ganti & Bandingkan Model Apa Saja

Command A

Aya Vision 32B

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Command A · Strengths & Key Advantages

Considerations & Trade-offs

Aya Vision 32B · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Command A vs Aya Vision 32B: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

Related reading