Mistral 7B vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Mistral 7B by Mistral AI against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.
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Mistral 7B
Inferência UltrarrápidaO Mistral 7B da Mistral AI é um modelo de IA projetado para respostas em tempo real com latência ultrabaixa e roteamento de alto volume, oferecendo janela de contexto de 33K, velocidade de 200 tokens/s, índice de inteligência de 32/100 e ta
$0.06 / 1M
$0.06 / 1M
32.8K tokens
N/A
GPT-6 Astra
Modelo Nativo de Voz e ÁudioO GPT-6 Astra da OpenAI é um modelo de IA projetado para síntese de voz natural, transcrição de áudio e interação falada em tempo real, oferecendo janela de contexto de 272K, velocidade de 100 tokens/s, índice de inteligência de 96/100 e ta
$10.00 / 1M
$50.00 / 1M
272K tokens
82.4%
Principais Diferenças em Resumo
- Mistral 7B is 369.4x cheaper for API usage (input + output tokens combined).
- GPT-6 Astra has a larger context window (272K vs 33K tokens).
- Mistral 7B is faster at 200 tok/s vs 100 tok/s.
| Feature | Mistral 7B | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 32 | 96 |
Provider | Mistral AI | OpenAI |
Input Price Cost per million input tokens | $0.06 / 1M | $10.00 / 1M |
Output Price Cost per million output tokens | $0.06 / 1M | $50.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.03 / 1M | $7.70 / 1M |
Context Window Maximum input + output tokens | 32.8K tokens~49 A4 pages of text | 272K tokens~408 A4 pages of text |
Max Output Tokens Per single request | 4K | 128K |
Throughput Speed Tokens generated per second | 200 tok/s | 100 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 82.4% |
GPQA Diamond Graduate-level reasoning | N/A | 80.9% |
Cached Input Price Prompt caching discount per 1M tokens | $0.01 / 1M | $1.00 / 1M |
Quem vence em cada categoria?
At-a-glance decision frameworkEvaluations ongoing
Pontuações de Benchmarks Verificadas
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.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
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.
Latência e Tempo de Resposta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulador Interativo de Custo de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Mistral 7B · Strengths & Key Advantages
- Janela de contexto de 33K com limite máximo de saída de 4K tokens (MMLU-Pro 56% · Arena Elo 1120)
- Taxa de transferência rápida de 200 tokens/segundo com latência inicial (TTFT) de 240 ms
- Pesos abertos (7.3B) para auto-hospedagem local ou em nuvem privada via vLLM, SGLang ou Ollama
Considerations & Trade-offs
- Requer servidores GPU com memória VRAM adequada para execução local em precisão total
- Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade
GPT-6 Astra · Strengths & Key Advantages
- Janela de contexto de 272K com limite máximo de saída de 128K tokens (SWE-bench Verified 82.4% · GPQA Diamond 80.9%)
- Taxa de transferência rápida de 100 tokens/segundo com latência inicial (TTFT) de 950 ms
- Economia de API competitiva ($10/$50 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
- Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
- Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Mistral 7B | GPT-6 Astra |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.20 | $2.15 |
Output Tokens / Task Tokens generated per task | 24K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 32K |
Especificações Técnicas
Architecture, release timeline, capabilities, and modalities.
| Feature | Mistral 7B | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | mistral-7b-latest | gpt-6-astra |
| API Protocol | OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2023-09 | 2026-09 |
| Knowledge Cutoff | Mid 2023 | June 2026 |
| Architecture | Sliding Window Attention (SWA) Transformer | Omni-Adaptive Autoregressive with Dynamic CoT |
| Parameters | 7.3B | Confidential |
| Enterprise Rate Limits (RPM / TPM) | Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.06/1M in) across full 33K window | Flat rate ($10/1M in) across full 272K window |
| Prompt Cache Policy & TTL | Cached input at $0.015/1M tokens | Automatic prefix caching at $1/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | Text-only completion (No GUI action loop) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Prompt-based JSON extraction only | 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 | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory) | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| Multimodal Token Billing | Text BPE (~4 chars/token) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) |
| Quantization & Min GPU VRAM | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 5 GB VRAM (4-bit Quantized) · 16 GB VRAM (Native BF16) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma) | OpenAI Preparedness Framework Audited & System Card Published |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text | text, vision, audio |
| Output Modalities | text | text, audio |
Mistral 7B vs GPT-6 Astra: Respostas Rápidas (FAQ)
Which is more intelligent, Mistral 7B or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 compared with 32 on the composite Intelligence Index.
Which model is faster?
Mistral 7B is faster, generating 200 tokens per second compared with 100 tokens per second.
Which model is cheaper to run?
Mistral 7B is cheaper at $0.03 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Mistral 7B has lower latency, with a time to first token of 0.24s compared with 0.95s.
Which model has a larger context window?
GPT-6 Astra has a larger context window, supporting 272K tokens compared with 32.8K tokens.
Veredito
Choose Mistral 7B for indicado para respostas em tempo real com latência ultrabaixa e roteamento de alto volume, arquiteturas rag corporativas e integração escalável via api., or choose GPT-6 Astra for indicado para síntese de voz natural, transcrição de áudio e interação falada em tempo real, arquiteturas rag corporativas e integração escalável via api..
Perguntas Frequentes (FAQ)
Which is cheaper: Mistral 7B or GPT-6 Astra?+
Mistral 7B costs $0.06/1M input and $0.06/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.
Which model has a larger context window: Mistral 7B or GPT-6 Astra?+
Mistral 7B supports 33K tokens whereas GPT-6 Astra supports 272K tokens.
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.
Fontes oficiais: Mistral AI & OpenAI Official Documentation