North Mini Code vs GPT-6.1 Sol
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare North Mini Code by Cohere against GPT-6.1 Sol by OpenAI across real-world coding, reasoning, token economics, and latency.
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North Mini Code
Открытые веса (Open Weights)North Mini Code от Cohere — передовая модель искусственного интеллекта с контекстным окном 256K токенов и стоимостью API $0.2/1M входящих и $0.6/1M исходящих токенов для программирования, аналитики и автоматизации.
$0.20 / 1M
$0.60 / 1M
256K tokens
45%
GPT-6.1 Sol
Модель глубокого рассужденияGPT-6.1 Sol от OpenAI — передовая модель искусственного интеллекта с контекстным окном 1M токенов и стоимостью API $2.0/1M входящих и $10.0/1M исходящих токенов для программирования, аналитики и автоматизации.
$2.00 / 1M
$10.00 / 1M
1M tokens
82.3%
Ключевые отличия кратко
- North Mini Code is 13.5x cheaper for API usage (input + output tokens combined).
- GPT-6.1 Sol has a larger context window (1M vs 256K tokens).
- North Mini Code is faster at 125 tok/s vs 120 tok/s.
- GPT-6.1 Sol leads on SWE-bench coding (82.3% vs 45.0%).
| Feature | North Mini Code | GPT-6.1 Sol |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 47 | 94 |
Provider | Cohere | OpenAI |
Input Price Cost per million input tokens | $0.20 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $0.60 / 1M | $10.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.13 / 1M | $1.47 / 1M |
Context Window Maximum input + output tokens | 256K tokens~384 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 16K | 128K |
Throughput Speed Tokens generated per second | 125 tok/s | 120 tok/s |
SWE-bench Verified Real-world software engineering | 45% | 82.3% |
GPQA Diamond Graduate-level reasoning | 55% | 80.8% |
Cached Input Price Prompt caching discount per 1M tokens | $0.04 / 1M | $0.10 / 1M |
Кто лидирует в каждой категории?
At-a-glance decision frameworkРезультаты проверенных бенчмарков
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.
Задержка и скорость ответа
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Интерактивный калькулятор стоимости токенов
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
North Mini Code · Strengths & Key Advantages
- Современная архитектура Code-Specialized Autoregressive Transformer от Cohere с поддержкой до 256K токенов контекста
- Оптимальная стоимость использования ($0.2/1M вход, $0.6/1M выход) и высокая скорость генерации
- Высокие результаты в задачах написания кода, логического мышления и многоязычной обработки
Considerations & Trade-offs
- При работе с максимальным контекстом требуется контроль расхода токенов
- Для узкоспециализированных задач рекомендуется точная настройка системных промптов
GPT-6.1 Sol · Strengths & Key Advantages
- Современная архитектура Near-Astra unified reasoning model от OpenAI с поддержкой до 1M токенов контекста
- Оптимальная стоимость использования ($2.0/1M вход, $10.0/1M выход) и высокая скорость генерации
- Высокие результаты в задачах написания кода, логического мышления и многоязычной обработки
Considerations & Trade-offs
- При работе с максимальным контекстом требуется контроль расхода токенов
- Для узкоспециализированных задач рекомендуется точная настройка системных промптов
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | North Mini Code | GPT-6.1 Sol |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.15 | $2.05 |
Output Tokens / Task Tokens generated per task | 30K | 62K |
Reasoning Tokens / Task Thinking tokens burned per task | 12K | 36K |
Технические характеристики
Architecture, release timeline, capabilities, and modalities.
| Feature | North Mini Code | GPT-6.1 Sol |
|---|---|---|
| Official API Model ID (SDK) | north-mini-code | gpt-6-1-sol |
| API Protocol | OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-06 | 2026-09 |
| Knowledge Cutoff | April 2026 | April 2026 |
| Architecture | Code-Specialized Autoregressive Transformer | Near-Astra unified reasoning model |
| Parameters | Confidential (~20B) | 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) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.2/1M in) across full 256K window | Flat rate ($2/1M in) across full 1000K window |
| Prompt Cache Policy & TTL | Cached input at $0.04/1M 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 | 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) |
| Quantization & Min GPU VRAM | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 12 GB VRAM (4-bit Quantized) · 43 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 |
| Output Modalities | text | text |
North Mini Code vs GPT-6.1 Sol: Быстрые ответы (FAQ)
Which is more intelligent, North Mini Code or GPT-6.1 Sol?
GPT-6.1 Sol is more intelligent. It scores 94 compared with 47 on the composite Intelligence Index.
Which model is faster?
North Mini Code is faster, generating 125 tokens per second compared with 120 tokens per second.
Which model is cheaper to run?
North Mini Code is cheaper at $0.13 per 1M tokens blended, compared with $1.47 (7:2:1 cache:input:output ratio).
Which model has lower latency?
North Mini Code has lower latency, with a time to first token of 0.32s 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 256K tokens.
Вердикт
Choose North Mini Code for корпоративной автоматизации, разработки по, ии-агентов и продуктовых решений на базе cohere, or choose GPT-6.1 Sol for корпоративной автоматизации, разработки по, ии-агентов и продуктовых решений на базе openai.
Часто задаваемые вопросы (FAQ)
Which is cheaper: North Mini Code or GPT-6.1 Sol?+
North Mini Code costs $0.2/1M input and $0.6/1M output tokens, while GPT-6.1 Sol costs $2/1M input and $10/1M output tokens.
Which model has a larger context window: North Mini Code or GPT-6.1 Sol?+
North Mini Code supports 256K 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.
Официальные источники: Cohere & OpenAI Official Documentation