Aya Vision 8B vs Mistral Small 3
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Aya Vision 8B by Cohere and Mistral Small 3 by Mistral AI represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, both models offer identical input token rates. On output generation, Aya Vision 8B is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Mistral Small 3 provides an expanded memory horizon with 32K tokens. In latency-sensitive production environments, Aya Vision 8B leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.
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Aya Vision 8B
开源权重模型Cohere 推出的 Aya Vision 8B 人工智能模型，具备 16K 上下文窗口，输入价格为 $0.1/百万 Token，输出价格为 $0.25/百万 Token，专为高质量生产环境、推理与自动化工作流打造。
$0.10 / 1M
$0.25 / 1M
16K tokens
22%
Mistral Small 3
开源权重模型Mistral AI 推出的 Mistral Small 3 人工智能模型，具备 32K 上下文窗口，输入价格为 $0.1/百万 Token，输出价格为 $0.3/百万 Token，专为高质量生产环境、推理与自动化工作流打造。
$0.10 / 1M
$0.30 / 1M
32K tokens
31.5%
核心差异一览
- 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 |
各项指标谁更胜一筹？
At-a-glance decision framework权威基准测试得分对比
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.
延迟与响应速度
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
实时 Token 成本模拟器
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Aya Vision 8B · Strengths & Key Advantages
- 由 Cohere 研发的高精度 Multilingual Vision-Language Transformer 架构，支持 16K 上下文窗口
- 极具竞争力的 API 定价（输入 $0.1/1M，输出 $0.25/1M），支持高速推理与工具调用
- 在代码生成、逻辑推理与多语言处理基准测试中表现出色
Considerations & Trade-offs
- 超长上下文请求需要规划 Token 成本与并发配额
- 针对特定垂直领域任务建议结合系统提示词与检索增强（RAG）以获得最佳效果
Mistral Small 3 · Strengths & Key Advantages
- 由 Mistral AI 研发的高精度 Compact Dense Transformer 架构，支持 32K 上下文窗口
- 极具竞争力的 API 定价（输入 $0.1/1M，输出 $0.3/1M），支持高速推理与工具调用
- 在代码生成、逻辑推理与多语言处理基准测试中表现出色
Considerations & Trade-offs
- 超长上下文请求需要规划 Token 成本与并发配额
- 针对特定垂直领域任务建议结合系统提示词与检索增强（RAG）以获得最佳效果
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 |
技术规格参数
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: 常见问题解答 (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.
综合结论
Verdict & Model Selection Recommendation: Choose Aya Vision 8B if your priority is Global document triage, multilingual receipt and invoice OCR, and mobile visual apps. Its performance in demanding tasks justifies its operational token cost. Choose Mistral Small 3 if your workflow prioritizes High-volume customer support, classification pipelines, and low-latency chatbots. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.
常见问题 (FAQ)
How does Aya Vision 8B compare to Mistral Small 3 in API token pricing and cost per token?+
Aya Vision 8B costs $0.10 per 1M input tokens and $0.25 per 1M output tokens, whereas Mistral Small 3 costs $0.10 input and $0.30 output. Overall, Aya Vision 8B is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.
Which model has a larger context window: Aya Vision 8B or Mistral Small 3?+
Aya Vision 8B supports a context window of 16K tokens (~12k words), while Mistral Small 3 supports 32K tokens (~24k words). Therefore, Mistral Small 3 can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: Aya Vision 8B or Mistral Small 3?+
Aya Vision 8B scores 22% on SWE-bench Verified while Mistral Small 3 scores 31.5%. For autonomous software engineering and multi-file debugging, Mistral Small 3 holds the verified benchmark lead.
What is the difference in reasoning capability and extended thinking between Aya Vision 8B and Mistral Small 3?+
Aya Vision 8B is optimized for low-latency direct generation. In contrast, Mistral Small 3 focuses on standard fast inference.
How does inference speed (tokens per second) compare between Aya Vision 8B and Mistral Small 3?+
Aya Vision 8B generates approximately 110 tokens per second, while Mistral Small 3 delivers 105 tokens per second. In latency-sensitive production environments, Aya Vision 8B provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining Aya Vision 8B and Mistral Small 3 to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Mistral Small 3 to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Aya Vision 8B. This tiered routing pattern cuts overall API bills by up to 70%.
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.
数据来源: GetInfoUs Independent AI Benchmarks & Official API Specs