Head-to-Head Model Comparison

Command A Translate vs Command A Vision

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 A TranslateProfile

Command A VisionProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Cohere

Command A Translate

Model Ringan & Hemat Biaya

Command A Translate dari Cohere adalah model AI yang dirancang untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, menghadirkan jendela konteks 8K, kecepatan 130 token/detik, indeks kecerdasan 40/100, serta tar

Intelligence Index40 / 100

Input Token:

$0.20 / 1M

Output Token:

$0.40 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

N/A

Cohere

Command A Vision

AI Multimodal Asli

Command A Vision dari Cohere adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 128K, kecepatan 65 token/detik, indeks kecerdasan 53/100, serta tarif

Intelligence Index53 / 100

Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

45%

Perbedaan Utama Sekilas

Command A Translate is 18.9x cheaper for API usage (input + output tokens combined).
Command A Vision has a larger context window (128K vs 8K tokens).
Command A Translate is faster at 130 tok/s vs 65 tok/s.

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

Feature	Command A Translate	Command A Vision
Intelligence Index Composite reasoning & knowledge score (0-100)	40	53
Provider	Cohere	Cohere
Input Price Cost per million input tokens	$0.20 / 1M	$2.50 / 1M
Output Price Cost per million output tokens	$0.40 / 1M	$10.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.11 / 1M	$2.02 / 1M
Context Window Maximum input + output tokens	8.2K tokens~12 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	4K	16K
Throughput Speed Tokens generated per second	130 tok/s	65 tok/s
SWE-bench Verified Real-world software engineering	N/A	45%
GPQA Diamond Graduate-level reasoning	N/A	62.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.05 / 1M	$0.75 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Command A Translate

18.9x cheaper monthly runtime

Speed

Command A Translate

+100% faster generation

Context

Command A Vision

128K tokens window

Skor Benchmark Terverifikasi

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

Command A TranslateCommand A Vision

SWE-bench Verified (Autonomous Coding)

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

N/Avs45%

GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs62.5%

MMLU-Pro (Multi-task Language Understanding)

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

68%vs81.5%

LMSYS Chatbot Arena Elo

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

1235ptsvs1345pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs41%

Long-Context Reasoning

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

N/Avs83%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

130 tok/s vs65 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 A Translate0.32s

Command A Vision0.55s

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

Command A Translate4.17s

Command A Vision8.24s

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 Translate Monthly API Bill

$0.74 / month

$0.2/1M in · $0.4/1M out

Command A Vision Monthly API Bill

$13.88 / month

$2.5/1M in · $10/1M out

Command A Translate saves approximately $13.14 / month (95%) under this workload.18.9x Savings

Command A Translate · Strengths & Key Advantages

Jendela konteks 8K dengan kapasitas output maksimum hingga 4K token (MMLU-Pro 68% · Arena Elo 1235)
Kecepatan generasi tinggi 130 token/detik dengan latensi token pertama (TTFT) hanya 320 ms
Bobot terbuka (Confidential (~14B)) 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

Command A Vision · Strengths & Key Advantages

Jendela konteks 128K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 45% · GPQA Diamond 62.5%)
Kecepatan generasi tinggi 65 token/detik dengan latensi token pertama (TTFT) hanya 550 ms
Bobot terbuka (Confidential (~110B+)) 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 Translate	Command A Vision
Cost per Task Estimated USD to finish one task	$0.04	$0.80
Output Tokens / Task Tokens generated per task	15K	38K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Command A Translate	Command A Vision
Official API Model ID (SDK)	command-a-translate	command-a-vision
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2025-08	2025-07
Knowledge Cutoff	June 2025	May 2025
Architecture	Specialized Enterprise Neural Translation Transformer	Enterprise Multimodal Agent Transformer
Parameters	Confidential (~14B)	Confidential (~110B+)
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 ($0.2/1M in) across full 8K window	Flat rate ($2.5/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.05/1M 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)	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) · 9 GB VRAM (4-bit Quantized) · 30 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 68 GB VRAM (4-bit Quantized) · 237 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 Translate vs Command A Vision: Jawaban Cepat (FAQ)

Which is more intelligent, Command A Translate or Command A Vision?

Command A Vision is more intelligent. It scores 53 compared with 40 on the composite Intelligence Index.

Which model is faster?

Command A Translate is faster, generating 130 tokens per second compared with 65 tokens per second.

Which model is cheaper to run?

Command A Translate is cheaper at $0.11 per 1M tokens blended, compared with $2.02 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Command A Translate has lower latency, with a time to first token of 0.32s compared with 0.55s.

Which model has a larger context window?

Command A Vision has a larger context window, supporting 128K tokens compared with 8.2K tokens.

Kesimpulan

Baik Command A Translate (Sangat cocok untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Command A Vision (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Command A Vision unggul dalam penalaran dan pemrograman, Command A Translate memberikan kecepatan generasi token lebih tinggi, dan Command A Translate lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Command A Translate atau Command A Vision?+

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

Berapa perbandingan harga API Command A Translate vs Command A Vision?+

Command A Translate mengenakan biaya $0.20 / $0.40 per 1M token input/output, sedangkan Command A Vision sebesar $2.50 / $10.00. Secara keseluruhan, Command A Translate lebih hemat biaya.

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

Command A Translate mendukung konteks 8.2K token dibandingkan 128K token pada Command A Vision, sementara Command A Translate 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 Translate vs Command A Vision

Ganti & Bandingkan Model Apa Saja

Command A Translate

Command A Vision

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Command A Translate · Strengths & Key Advantages

Considerations & Trade-offs

Command A Vision · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Command A Translate vs Command A Vision: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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