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Head-to-Head Model Comparison

Mistral Small 3 vs GPT-6 Astra

Benchmarks, API Token Pricing, Context Window & Speed Comparison

تمت المراجعة بواسطة فريق أبحاث GetInfoUsآخر مراجعة: October 2026السياسة التحريرية
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Mistral AIOpenAIopen-sourceflagship

Compare Mistral Small 3 by Mistral AI against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.

مقارنة مباشرة (VS)

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Mistral AI

Mistral Small 3

نموذج أساسي مفتوح الأوزان

نموذج Mistral Small 3 من Mistral AI مصمم خصيصاً لـالاستضافة الذاتية على الخوادم الخاصة والضبط الدقيق والسيادة الكاملة على البيانات، حيث يوفر نافذة سياق بسعة 32K وسرعة 105 رمز/ثانية ومؤشر ذكاء 41/100 (بتكلفة $0.1/$0.3 لكل مليون رمز).

Intelligence Index41 / 100
Input Token:

$0.10 / 1M

Output Token:

$0.30 / 1M

Context Window:

32K tokens

SWE-bench Verified:

31.5%

OpenAI

GPT-6 Astra

نموذج الصوت والكلام الطبيعي

نموذج GPT-6 Astra من OpenAI مصمم خصيصاً لـتوليد الكلام البشري الطبيعي ومعالجة الصوت الفورية والنسخ الصوتي الدقيق، حيث يوفر نافذة سياق بسعة 272K وسرعة 100 رمز/ثانية ومؤشر ذكاء 96/100 (بتكلفة $10/$50 لكل مليون رمز).

Intelligence Index96 / 100
Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

272K tokens

SWE-bench Verified:

82.4%

أهم الفروقات في لمحة

  • Mistral Small 3 is 124.2x cheaper for API usage (input + output tokens combined).
  • GPT-6 Astra has a larger context window (272K vs 32K tokens).
  • Mistral Small 3 is faster at 105 tok/s vs 100 tok/s.
  • GPT-6 Astra leads on SWE-bench coding (82.4% vs 31.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureMistral Small 3GPT-6 Astra
Intelligence Index
Composite reasoning & knowledge score (0-100)
4196
Provider
Mistral AIOpenAI
Input Price
Cost per million input tokens
$0.10 / 1M$10.00 / 1M
Output Price
Cost per million output tokens
$0.30 / 1M$50.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.09 / 1M$7.70 / 1M
Context Window
Maximum input + output tokens
32K tokens~48 A4 pages of text272K tokens~408 A4 pages of text
Max Output Tokens
Per single request
8K128K
Throughput Speed
Tokens generated per second
105 tok/s100 tok/s
SWE-bench Verified
Real-world software engineering
31.5%82.4%
GPQA Diamond
Graduate-level reasoning
46.5%80.9%
Cached Input Price
Prompt caching discount per 1M tokens
$0.05 / 1M$1.00 / 1M

من يتفوق في كل مجال؟

At-a-glance decision framework
Coding
GPT-6 Astra
+50.9% SWE-bench lead
Cost
Mistral Small 3
124.2x cheaper monthly runtime
Speed
Mistral Small 3
+5% faster generation
Context
GPT-6 Astra
272K tokens window

نتائج الاختبارات المعيارية الموثقة

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

Mistral Small 3GPT-6 Astra
SWE-bench Verified (Autonomous Coding)

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

31.5%vs82.4%
GPQA Diamond (Doctorate-Level Science & Math)

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

46.5%vs80.9%
MMLU-Pro (Multi-task Language Understanding)

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

70.2%vs89.9%
LMSYS Chatbot Arena Elo

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

1238ptsvs1520pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

N/Avs18.2%
Terminal-Bench (Agentic Coding & Terminal Use)

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

27%vs63.8%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

N/Avs54.9%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs79.8%
AIME (Advanced Math Competition)

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

52%vs93.6%
Long-Context Reasoning

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

64%vs91.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

105 tok/s vs100 tok/s

زمن الاستجابة والسرعة

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
Mistral Small 30.38s
GPT-6 Astra0.95s
Est. End-to-End Response (500 tokens)TTFT + generation time
Mistral Small 35.14s
GPT-6 Astra5.95s

محاكي تكلفة الرموز التفاعلي

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)
Mistral Small 3 Monthly API Bill
$0.50 / month
$0.1/1M in · $0.3/1M out
GPT-6 Astra Monthly API Bill
$61.50 / month
$10/1M in · $50/1M out
Mistral Small 3 saves approximately $61.01 / month (99%) under this workload.124.2x Savings

Mistral Small 3 · Strengths & Key Advantages

  • نافذة سياق بسعة 32K وحد أقصى للمخرجات يصل إلى 8K رمز (SWE-bench Verified 31.5% · GPQA Diamond 46.5%)
  • سرعة توليد عالية تبلغ 105 رمز/ثانية مع زمن استجابة لأول رمز (TTFT) قدره 380 مللي ثانية
  • أوزان مفتوحة (24B) تتيح الاستضافة الذاتية محلياً أو عبر السحابة الخاصة باستخدام vLLM وOllama
Considerations & Trade-offs
  • يتطلب خوادم GPU بذاكرة VRAM كافية عند التشغيل المحلي بالدقة الكاملة
  • في المسائل البحثية فائقة التعقيد، قد تتفوق نماذج الاستدلال الثقيلة المتخصصة في عمق التحليل

GPT-6 Astra · Strengths & Key Advantages

  • نافذة سياق بسعة 272K وحد أقصى للمخرجات يصل إلى 128K رمز (SWE-bench Verified 82.4% · GPQA Diamond 80.9%)
  • سرعة توليد عالية تبلغ 100 رمز/ثانية مع زمن استجابة لأول رمز (TTFT) قدره 950 مللي ثانية
  • تسعير API تنافسي (بتكلفة $10/$50 لكل مليون رمز) مع دعم التخزين المؤقت للأوامر والمخرجات المهيكلة بصيغة JSON
Considerations & Trade-offs
  • نموذج سحابي مغلق الأوزان لا يدعم تنزيل الأوزان للتشغيل المحلي المعزول عن الإنترنت
  • في حالات الاستخدام الكثيف، يُنصح بتفعيل التخزين المؤقت (Prompt Caching) وBatch API لترشيد النفقات

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricMistral Small 3GPT-6 Astra
Cost per Task
Estimated USD to finish one task
$0.08$2.15
Output Tokens / Task
Tokens generated per task
25K58K
Reasoning Tokens / Task
Thinking tokens burned per task
0K32K

المواصفات التقنية

Architecture, release timeline, capabilities, and modalities.

FeatureMistral Small 3GPT-6 Astra
Official API Model ID (SDK)mistral-small-3-latestgpt-6-astra
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI Responses API & Chat Completions v1
Release Date2025-012026-09
Knowledge CutoffDecember 2024June 2026
ArchitectureCompact Dense TransformerOmni-Adaptive Autoregressive with Dynamic CoT
Parameters24BConfidential
Enterprise Rate Limits (RPM / TPM)Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.1/1M in) across full 32K windowFlat rate ($10/1M in) across full 272K window
Prompt Cache Policy & TTLCached input at $0.05/1M tokensAutomatic prefix caching at $1/1M (no extra cache-write fee)
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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 toolsNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportFull Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 15 GB VRAM (4-bit Quantized) · 52 GB VRAM (Native BF16)Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier ClassificationOpen-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 ControlSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext, vision, audio
Output Modalitiestexttext, audio

Mistral Small 3 vs GPT-6 Astra: إجابات سريعة (FAQ)

Which is more intelligent, Mistral Small 3 or GPT-6 Astra?

GPT-6 Astra is more intelligent. It scores 96 compared with 41 on the composite Intelligence Index.

Which model is faster?

Mistral Small 3 is faster, generating 105 tokens per second compared with 100 tokens per second.

Which model is cheaper to run?

Mistral Small 3 is cheaper at $0.09 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Mistral Small 3 has lower latency, with a time to first token of 0.38s compared with 0.95s.

Which model has a larger context window?

GPT-6 Astra has a larger context window, supporting 272K tokens compared with 32K tokens.

الحكم النهائي

Choose Mistral Small 3 for مثالي لـالاستضافة الذاتية على الخوادم الخاصة والضبط الدقيق والسيادة الكاملة على البيانات وأنظمة rag المؤسسية وربط واجهات البرمجة (api) القابلة للتوسع., or choose GPT-6 Astra for مثالي لـتوليد الكلام البشري الطبيعي ومعالجة الصوت الفورية والنسخ الصوتي الدقيق وأنظمة rag المؤسسية وربط واجهات البرمجة (api) القابلة للتوسع..

الأسئلة الشائعة (FAQ)

Which is cheaper: Mistral Small 3 or GPT-6 Astra?+

Mistral Small 3 costs $0.1/1M input and $0.3/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.

Which model has a larger context window: Mistral Small 3 or GPT-6 Astra?+

Mistral Small 3 supports 32K tokens whereas GPT-6 Astra supports 272K tokens.

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.

المصادر الرسمية: Mistral AI & OpenAI Official Documentation