Head-to-Head Model Comparison

Aya Expanse 8B vs GPT-6.1 Sol

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Проверено исследовательской группой GetInfoUsПоследняя проверка: October 2026Редакционная политика
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CohereOpenAIopen-sourceflagship

Compare Aya Expanse 8B by Cohere against GPT-6.1 Sol by OpenAI across real-world coding, reasoning, token economics, and latency.

Прямое сравнение (VS)

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Cohere

Aya Expanse 8B

Открытые веса (Open Weights)

Aya Expanse 8B от Cohere — передовая модель искусственного интеллекта с контекстным окном 8K токенов и стоимостью API $0.08/1M входящих и $0.16/1M исходящих токенов для программирования, аналитики и автоматизации.

Intelligence Index36 / 100
Input Token:

$0.08 / 1M

Output Token:

$0.16 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

24%

OpenAI

GPT-6.1 Sol

Модель глубокого рассуждения

GPT-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.

Intelligence Index94 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

82.3%

Ключевые отличия кратко

  • Aya Expanse 8B is 41.3x cheaper for API usage (input + output tokens combined).
  • GPT-6.1 Sol has a larger context window (1M vs 8K tokens).
  • Aya Expanse 8B is faster at 135 tok/s vs 120 tok/s.
  • GPT-6.1 Sol leads on SWE-bench coding (82.3% vs 24.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureAya Expanse 8BGPT-6.1 Sol
Intelligence Index
Composite reasoning & knowledge score (0-100)
3694
Provider
CohereOpenAI
Input Price
Cost per million input tokens
$0.08 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$0.16 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.05 / 1M$1.47 / 1M
Context Window
Maximum input + output tokens
8.2K tokens~12 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
4K128K
Throughput Speed
Tokens generated per second
135 tok/s120 tok/s
SWE-bench Verified
Real-world software engineering
24%82.3%
GPQA Diamond
Graduate-level reasoning
40%80.8%
Cached Input Price
Prompt caching discount per 1M tokens
$0.02 / 1M$0.10 / 1M

Кто лидирует в каждой категории?

At-a-glance decision framework
Coding
GPT-6.1 Sol
+58.3% SWE-bench lead
Cost
Aya Expanse 8B
41.3x cheaper monthly runtime
Speed
Aya Expanse 8B
+13% faster generation
Context
GPT-6.1 Sol
1M tokens window

Результаты проверенных бенчмарков

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

Aya Expanse 8BGPT-6.1 Sol
SWE-bench Verified (Autonomous Coding)

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

24%vs82.3%
GPQA Diamond (Doctorate-Level Science & Math)

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

40%vs80.8%
MMLU-Pro (Multi-task Language Understanding)

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

62%vs89.9%
LMSYS Chatbot Arena Elo

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

1205ptsvs1519pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs18.1%
Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs63.6%
SciCode (Scientific Computing)

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

N/Avs54.8%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs79.7%
AIME (Advanced Math Competition)

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

N/Avs93.5%
Long-Context Reasoning

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

N/Avs91%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

135 tok/s vs120 tok/s

Задержка и скорость ответа

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
Aya Expanse 8B0.30s
GPT-6.1 Sol1.12s
Est. End-to-End Response (500 tokens)TTFT + generation time
Aya Expanse 8B4.00s
GPT-6.1 Sol5.29s

Интерактивный калькулятор стоимости токенов

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)
Aya Expanse 8B Monthly API Bill
$0.29 / month
$0.08/1M in · $0.16/1M out
GPT-6.1 Sol Monthly API Bill
$12.15 / month
$2/1M in · $10/1M out
Aya Expanse 8B saves approximately $11.86 / month (98%) under this workload.41.3x Savings

Aya Expanse 8B · Strengths & Key Advantages

  • Современная архитектура Compact Multilingual Dense Transformer от Cohere с поддержкой до 8K токенов контекста
  • Оптимальная стоимость использования ($0.08/1M вход, $0.16/1M 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.

MetricAya Expanse 8BGPT-6.1 Sol
Cost per Task
Estimated USD to finish one task
$0.04$2.05
Output Tokens / Task
Tokens generated per task
18K62K
Reasoning Tokens / Task
Thinking tokens burned per task
0K36K

Технические характеристики

Architecture, release timeline, capabilities, and modalities.

FeatureAya Expanse 8BGPT-6.1 Sol
Official API Model ID (SDK)aya-expanse-8bgpt-6-1-sol
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI Responses API & Chat Completions v1
Release Date2024-102026-09
Knowledge CutoffAugust 2024April 2026
ArchitectureCompact Multilingual Dense TransformerNear-Astra unified reasoning model
Parameters8BConfidential
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) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.08/1M in) across full 8K windowFlat rate ($2/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.02/1M tokensAutomatic prefix caching at $0.1/1M (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)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 5 GB VRAM (4-bit Quantized) · 17 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
Output Modalitiestexttext

Aya Expanse 8B vs GPT-6.1 Sol: Быстрые ответы (FAQ)

Which is more intelligent, Aya Expanse 8B or GPT-6.1 Sol?

GPT-6.1 Sol is more intelligent. It scores 94 compared with 36 on the composite Intelligence Index.

Which model is faster?

Aya Expanse 8B is faster, generating 135 tokens per second compared with 120 tokens per second.

Which model is cheaper to run?

Aya Expanse 8B is cheaper at $0.05 per 1M tokens blended, compared with $1.47 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Aya Expanse 8B has lower latency, with a time to first token of 0.30s 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 8.2K tokens.

Вердикт

Choose Aya Expanse 8B 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: Aya Expanse 8B or GPT-6.1 Sol?+

Aya Expanse 8B costs $0.08/1M input and $0.16/1M output tokens, while GPT-6.1 Sol costs $2/1M input and $10/1M output tokens.

Which model has a larger context window: Aya Expanse 8B or GPT-6.1 Sol?+

Aya Expanse 8B supports 8K tokens whereas GPT-6.1 Sol supports 1M 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.

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