Aya Vision 8B vs Mistral Small 3
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Aya Vision 8B dari Cohere dan Mistral Small 3 dari Mistral AI adalah dua model AI unggulan. Aya Vision 8B menawarkan jendela konteks 16K token dengan harga $0.10/$0.25 per 1 juta token, sedangkan Mistral Small 3 menyediakan konteks 32K token seharga $0.10/$0.30 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Aya Vision 8B
Model Multibahasa GlobalAya Vision 8B dari Cohere adalah model AI yang dirancang untuk penerjemahan multibahasa yang akurat dan komunikasi perusahaan global, menghadirkan jendela konteks 16K, kecepatan 110 token/detik, indeks kecerdasan 38/100, serta tarif $0.1/$0
$0.10 / 1M
$0.25 / 1M
16K tokens
22%
Mistral Small 3
Model Dasar Bobot TerbukaMistral Small 3 dari Mistral AI adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 32K, kecepatan 105 token/detik, indeks kecerdasan 41/100, serta tarif
$0.10 / 1M
$0.30 / 1M
32K tokens
31.5%
Perbedaan Utama Sekilas
- Aya Vision 8B is 1.2x cheaper for API usage (input + output tokens combined).
- Mistral Small 3 has a larger context window (32K vs 16K tokens).
- Aya Vision 8B is faster at 110 tok/s vs 105 tok/s.
- Mistral Small 3 leads on SWE-bench coding (31.5% vs 22.0%).
| Feature | Aya Vision 8B | Mistral Small 3 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 38 | 41 |
Provider | Cohere | Mistral AI |
Input Price Cost per million input tokens | $0.10 / 1M | $0.10 / 1M |
Output Price Cost per million output tokens | $0.25 / 1M | $0.30 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.07 / 1M | $0.09 / 1M |
Context Window Maximum input + output tokens | 16K tokens~24 A4 pages of text | 32K tokens~48 A4 pages of text |
Max Output Tokens Per single request | 4K | 8K |
Throughput Speed Tokens generated per second | 110 tok/s | 105 tok/s |
SWE-bench Verified Real-world software engineering | 22% | 31.5% |
GPQA Diamond Graduate-level reasoning | 41% | 46.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.03 / 1M | $0.05 / 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.
Aya Vision 8B · Strengths & Key Advantages
- Jendela konteks 16K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 22% · GPQA Diamond 41%)
- Kecepatan generasi tinggi 110 token/detik dengan latensi token pertama (TTFT) hanya 350 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
Mistral Small 3 · Strengths & Key Advantages
- Jendela konteks 32K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 31.5% · GPQA Diamond 46.5%)
- Kecepatan generasi tinggi 105 token/detik dengan latensi token pertama (TTFT) hanya 380 ms
- Bobot terbuka (24B) 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 | Aya Vision 8B | Mistral Small 3 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.06 | $0.08 |
Output Tokens / Task Tokens generated per task | 18K | 25K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Aya Vision 8B | Mistral Small 3 |
|---|---|---|
| Official API Model ID (SDK) | aya-vision-8b | mistral-small-3-latest |
| API Protocol | OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI | OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI |
| Release Date | 2025-03 | 2025-01 |
| Knowledge Cutoff | January 2025 | December 2024 |
| Architecture | Multilingual Vision-Language Transformer | Compact Dense Transformer |
| Parameters | 8B | 24B |
| 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 ($0.1/1M in) across full 16K window | Flat rate ($0.1/1M in) across full 32K window |
| Prompt Cache Policy & TTL | Cached input at $0.03/1M tokens | Cached input at $0.05/1M 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) · 5 GB VRAM (4-bit Quantized) · 17 GB VRAM (Native BF16) | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 15 GB VRAM (4-bit Quantized) · 52 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 |
Aya Vision 8B vs Mistral Small 3: Jawaban Cepat (FAQ)
Which is more intelligent, Aya Vision 8B or Mistral Small 3?
Mistral Small 3 is more intelligent. It scores 41 compared with 38 on the composite Intelligence Index.
Which model is faster?
Aya Vision 8B is faster, generating 110 tokens per second compared with 105 tokens per second.
Which model is cheaper to run?
Aya Vision 8B is cheaper at $0.07 per 1M tokens blended, compared with $0.09 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Aya Vision 8B has lower latency, with a time to first token of 0.35s compared with 0.38s.
Which model has a larger context window?
Mistral Small 3 has a larger context window, supporting 32K tokens compared with 16K tokens.
Kesimpulan
Baik Aya Vision 8B (Sangat cocok untuk penerjemahan multibahasa yang akurat dan komunikasi perusahaan global, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Mistral Small 3 (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Mistral Small 3 unggul dalam penalaran dan pemrograman, Aya Vision 8B memberikan kecepatan generasi token lebih tinggi, dan Aya Vision 8B lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Aya Vision 8B atau Mistral Small 3?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Mistral Small 3 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Aya Vision 8B vs Mistral Small 3?+
Aya Vision 8B mengenakan biaya $0.10 / $0.25 per 1M token input/output, sedangkan Mistral Small 3 sebesar $0.10 / $0.30. Secara keseluruhan, Aya Vision 8B lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Aya Vision 8B mendukung konteks 16K token dibandingkan 32K token pada Mistral Small 3, sementara Aya Vision 8B 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.
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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 & Mistral AI serta evaluasi benchmark independen (2026).