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Head-to-Head Model Comparison

Aya Expanse 8B vs Command R+

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Aya Expanse 8B vs Command R+: Benchmarks, Pricing & Speed Comparison

Aya Expanse 8B dari Cohere dan Command R+ dari Cohere adalah dua model AI unggulan. Aya Expanse 8B menawarkan jendela konteks 8.2K token dengan harga $0.08/$0.16 per 1 juta token, sedangkan Command R+ menyediakan konteks 128K token seharga $2.50/$10.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Cohere

Aya Expanse 8B

Model Multibahasa Global

Aya Expanse 8B dari Cohere adalah model AI yang dirancang untuk penerjemahan multibahasa yang akurat dan komunikasi perusahaan global, menghadirkan jendela konteks 8K, kecepatan 135 token/detik, indeks kecerdasan 36/100, serta tarif $0.08/$

Intelligence Index36 / 100
Input Token:

$0.08 / 1M

Output Token:

$0.16 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

24%

Cohere

Command R+

Model Dasar Bobot Terbuka

Command R+ dari Cohere adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 128K, kecepatan 65 token/detik, indeks kecerdasan 48/100, serta tarif $2.5/$10

Intelligence Index48 / 100
Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

41.5%

Perbedaan Utama Sekilas

  • Aya Expanse 8B is 47.2x cheaper for API usage (input + output tokens combined).
  • Command R+ has a larger context window (128K vs 8K tokens).
  • Aya Expanse 8B is faster at 135 tok/s vs 65 tok/s.
  • Command R+ leads on SWE-bench coding (41.5% vs 24.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureAya Expanse 8BCommand R+
Intelligence Index
Composite reasoning & knowledge score (0-100)
3648
Provider
CohereCohere
Input Price
Cost per million input tokens
$0.08 / 1M$2.50 / 1M
Output Price
Cost per million output tokens
$0.16 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.05 / 1M$2.02 / 1M
Context Window
Maximum input + output tokens
8.2K tokens~12 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
4K8K
Throughput Speed
Tokens generated per second
135 tok/s65 tok/s
SWE-bench Verified
Real-world software engineering
24%41.5%
GPQA Diamond
Graduate-level reasoning
40%56.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.02 / 1M$0.75 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding
Command R+
+17.5% SWE-bench lead
Cost
Aya Expanse 8B
47.2x cheaper monthly runtime
Speed
Aya Expanse 8B
+108% faster generation
Context
Command R+
128K tokens window

Skor Benchmark Terverifikasi

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

Aya Expanse 8BCommand R+
SWE-bench Verified (Autonomous Coding)

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

24%vs41.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

40%vs56.5%
MMLU-Pro (Multi-task Language Understanding)

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

62%vs78.5%
LMSYS Chatbot Arena Elo

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

1205ptsvs1300pts
Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs36%
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

N/Avs66%
Long-Context Reasoning

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

N/Avs80%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

135 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
Aya Expanse 8B0.30s
Command R+0.58s
Est. End-to-End Response (500 tokens)TTFT + generation time
Aya Expanse 8B4.00s
Command R+8.27s

Simulator Biaya Token Interaktif

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

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Aya Expanse 8B Monthly API Bill
$0.29 / month
$0.08/1M in · $0.16/1M out
Command R+ Monthly API Bill
$13.88 / month
$2.5/1M in · $10/1M out
Aya Expanse 8B saves approximately $13.58 / month (98%) under this workload.47.2x Savings

Aya Expanse 8B · Strengths & Key Advantages

  • Jendela konteks 8K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 24% · GPQA Diamond 40%)
  • Kecepatan generasi tinggi 135 token/detik dengan latensi token pertama (TTFT) hanya 300 ms
  • Bobot terbuka (8B) 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 R+ · Strengths & Key Advantages

  • Jendela konteks 128K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 41.5% · GPQA Diamond 56.5%)
  • Kecepatan generasi tinggi 65 token/detik dengan latensi token pertama (TTFT) hanya 580 ms
  • Bobot terbuka (104B) 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.

MetricAya Expanse 8BCommand R+
Cost per Task
Estimated USD to finish one task
$0.04$0.65
Output Tokens / Task
Tokens generated per task
18K35K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureAya Expanse 8BCommand R+
Official API Model ID (SDK)aya-expanse-8bcommand-r-plus
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2024-102024-08
Knowledge CutoffAugust 2024June 2024
ArchitectureCompact Multilingual Dense TransformerEnterprise-Grade Dense Transformer
Parameters8B104B
Enterprise Rate Limits (RPM / TPM)Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed CloudUnlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)Flat rate ($0.08/1M in) across full 8K windowFlat rate ($2.5/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.02/1M tokensCached input at $0.75/1M tokens
Computer Use / GUI AgentAPI / 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 CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportFull 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 BillingText BPE (~4 chars/token)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 5 GB VRAM (4-bit Quantized) · 17 GB VRAM (Native BF16)BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 64 GB VRAM (4-bit Quantized) · 224 GB VRAM (Native BF16)
Safety & Frontier ClassificationOpen-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 Control100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalitiestexttext
Output Modalitiestexttext

Aya Expanse 8B vs Command R+: Jawaban Cepat (FAQ)

Which is more intelligent, Aya Expanse 8B or Command R+?

Command R+ is more intelligent. It scores 48 compared with 36 on the composite Intelligence Index.

Which model is faster?

Aya Expanse 8B is faster, generating 135 tokens per second compared with 65 tokens per second.

Which model is cheaper to run?

Aya Expanse 8B is cheaper at $0.05 per 1M tokens blended, compared with $2.02 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Aya Expanse 8B has lower latency, with a time to first token of 0.30s compared with 0.58s.

Which model has a larger context window?

Command R+ has a larger context window, supporting 128K tokens compared with 8.2K tokens.

Kesimpulan

Baik Aya Expanse 8B (Sangat cocok untuk penerjemahan multibahasa yang akurat dan komunikasi perusahaan global, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Command R+ (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Command R+ unggul dalam penalaran dan pemrograman, Aya Expanse 8B memberikan kecepatan generasi token lebih tinggi, dan Aya Expanse 8B lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Aya Expanse 8B atau Command R+?+

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

Berapa perbandingan harga API Aya Expanse 8B vs Command R+?+

Aya Expanse 8B mengenakan biaya $0.08 / $0.16 per 1M token input/output, sedangkan Command R+ sebesar $2.50 / $10.00. Secara keseluruhan, Aya Expanse 8B lebih hemat biaya.

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

Aya Expanse 8B mendukung konteks 8.2K token dibandingkan 128K token pada Command R+, sementara Aya Expanse 8B 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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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).