Ministral 3B vs GPT-6.1 Sol
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Ministral 3B by Mistral AI against GPT-6.1 Sol by OpenAI across real-world coding, reasoning, token economics, and latency.
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Ministral 3B
Hafif ve Ekonomik ModelMistral AI tarafından geliştirilen Ministral 3B; token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı için tasarlanmış olup 128K bağlam penceresi, 180 token/sn hız, 33/100 zeka indeksi ve 1M token başına $0.04/$0.04 fiyatlandı
$0.04 / 1M
$0.04 / 1M
128K tokens
22.1%
GPT-6.1 Sol
Amiral Gemisi Öncü ModelOpenAI tarafından geliştirilen GPT-6.1 Sol; öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları için tasarlanmış olup 1M bağlam penceresi, 120 token/sn hız, 94/100 zeka indeksi ve 1M token başına $2/$10 fiyatland
$2.00 / 1M
$10.00 / 1M
1M tokens
82.3%
Bir Bakışta Temel Farklar
- Ministral 3B is 96.4x cheaper for API usage (input + output tokens combined).
- GPT-6.1 Sol has a larger context window (1M vs 128K tokens).
- Ministral 3B is faster at 180 tok/s vs 120 tok/s.
- GPT-6.1 Sol leads on SWE-bench coding (82.3% vs 22.1%).
| Feature | Ministral 3B | GPT-6.1 Sol |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 33 | 94 |
Provider | Mistral AI | OpenAI |
Input Price Cost per million input tokens | $0.04 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $0.04 / 1M | $10.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.03 / 1M | $1.47 / 1M |
Context Window Maximum input + output tokens | 128K tokens~192 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 8K | 128K |
Throughput Speed Tokens generated per second | 180 tok/s | 120 tok/s |
SWE-bench Verified Real-world software engineering | 22.1% | 82.3% |
GPQA Diamond Graduate-level reasoning | 32.5% | 80.8% |
Cached Input Price Prompt caching discount per 1M tokens | $0.02 / 1M | $0.10 / 1M |
Hangi Alanda Kim Kazanıyor?
At-a-glance decision frameworkDoğrulanmış Benchmark Puanları
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.
Gecikme Süresi ve Yanıt Hızı
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Gerçek Zamanlı Token Maliyet Simülatörü
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Ministral 3B · Strengths & Key Advantages
- 128K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (SWE-bench Verified 22.1% · GPQA Diamond 32.5%)
- Sadece 210 ms ilk token gecikmesi (TTFT) ile saniyede 180 token yüksek üretim hızı
- İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $0.04/$0.04 fiyatlandırma)
Considerations & Trade-offs
- Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
- Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir
GPT-6.1 Sol · Strengths & Key Advantages
- 1M bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 82.3% · GPQA Diamond 80.8%)
- Sadece 1120 ms ilk token gecikmesi (TTFT) ile saniyede 120 token yüksek üretim hızı
- İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $2/$10 fiyatlandırma)
Considerations & Trade-offs
- Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
- Yüksek hacimli üretim trafiğinde maliyetleri optimize etmek için Prompt Caching ve Batch API kullanımı önerilir
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Ministral 3B | GPT-6.1 Sol |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.03 | $2.05 |
Output Tokens / Task Tokens generated per task | 15K | 62K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 36K |
Teknik Özellikler
Architecture, release timeline, capabilities, and modalities.
| Feature | Ministral 3B | GPT-6.1 Sol |
|---|---|---|
| Official API Model ID (SDK) | ministral-3b-latest | gpt-6-1-sol |
| API Protocol | Mistral AI REST API (OpenAI-Compatible) | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2024-10 | 2026-09 |
| Knowledge Cutoff | October 2024 | April 2026 |
| Architecture | Ultra-Compact Dense Transformer | Near-Astra unified reasoning model |
| Parameters | 3B | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.04/1M in) across full 128K window | Flat rate ($2/1M in) across full 1000K window |
| Prompt Cache Policy & TTL | Cached input at $0.02/1M tokens | Automatic prefix caching at $0.1/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| 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 | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | 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) |
| Quantization & Min GPU VRAM | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | Mistral AI Production Safety & Alignment Verified | OpenAI Preparedness Framework Audited & System Card Published |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text | text, vision |
| Output Modalities | text | text |
Ministral 3B vs GPT-6.1 Sol: Hızlı Yanıtlar (SSS)
Which is more intelligent, Ministral 3B or GPT-6.1 Sol?
GPT-6.1 Sol is more intelligent. It scores 94 compared with 33 on the composite Intelligence Index.
Which model is faster?
Ministral 3B is faster, generating 180 tokens per second compared with 120 tokens per second.
Which model is cheaper to run?
Ministral 3B is cheaper at $0.03 per 1M tokens blended, compared with $1.47 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Ministral 3B has lower latency, with a time to first token of 0.21s compared with 1.12s.
Which model has a larger context window?
GPT-6.1 Sol has a larger context window, supporting 1M tokens compared with 128K tokens.
Sonuç
Choose Ministral 3B for token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı, kurumsal rag mimarileri ve ölçeklenebilir üretim api entegrasyonları için idealdir., or choose GPT-6.1 Sol for öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli ai iş akışları, kurumsal rag mimarileri ve ölçeklenebilir üretim api entegrasyonları için idealdir..
Sıkça Sorulan Sorular (SSS)
Which is cheaper: Ministral 3B or GPT-6.1 Sol?+
Ministral 3B costs $0.04/1M input and $0.04/1M output tokens, while GPT-6.1 Sol costs $2/1M input and $10/1M output tokens.
Which model has a larger context window: Ministral 3B or GPT-6.1 Sol?+
Ministral 3B supports 128K tokens whereas GPT-6.1 Sol supports 1M 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.
Resmi kaynaklar: Mistral AI & OpenAI Official Documentation