Head-to-Head Model Comparison

Command A Plus vs GPT-6 Sol

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial
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Compare Command A Plus by Cohere against GPT-6 Sol by OpenAI across real-world coding, reasoning, token economics, and latency.

Comparación Directa (VS)

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Cohere

Command A Plus

Comando más fuerte

de Cohere líder 2026 multimodal insignia motor uniting visual documento razonamiento, profundo cadena de pensamiento, y soberano empresarial implementación.

Intelligence Index58 / 100
Input Token:

$3.00 / 1M

Output Token:

$12.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

60.5%

OpenAI

GPT-6 Sol

GPT-6 rentable

un GPT-6 nivel ofreciendo complejo codificación y profesional trabajo un half el precio de GPT-5.6 Sol.

Intelligence Index93 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

82.1%

Diferencias Clave de un Vistazo

  • GPT-6 Sol is 1.4x cheaper for API usage (input + output tokens combined).
  • GPT-6 Sol has a larger context window (1M vs 128K tokens).
  • GPT-6 Sol is faster at 116 tok/s vs 68 tok/s.
  • GPT-6 Sol leads on SWE-bench coding (82.1% vs 60.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaCommand A PlusGPT-6 Sol
Intelligence Index
Composite reasoning & knowledge score (0-100)
5893
Provider
CohereOpenAI
Input Price
Cost per million input tokens
$3.00 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$12.00 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$2.33 / 1M$1.47 / 1M
Context Window
Maximum input + output tokens
128K tokens~192 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
33K128K
Throughput Speed
Tokens generated per second
68 tok/s116 tok/s
SWE-bench Verified
Real-world software engineering
60.5%82.1%
GPQA Diamond
Graduate-level reasoning
74%80.6%
Cached Input Price
Prompt caching discount per 1M tokens
$0.75 / 1M$0.10 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código
GPT-6 Sol
+21.6% SWE-bench lead
Costo
GPT-6 Sol
1.4x cheaper monthly runtime
Velocidad
GPT-6 Sol
+71% faster generation
Contexto
GPT-6 Sol
1M tokens window

Puntuaciones de Benchmarks Verificadas

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

Command A PlusGPT-6 Sol
SWE-bench Verified (Autonomous Coding)

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

60.5%vs82.1%
GPQA Diamond (Doctorate-Level Science & Math)

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

74%vs80.6%
MMLU-Pro (Multi-task Language Understanding)

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

86.8%vs89.8%
LMSYS Chatbot Arena Elo

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

1410ptsvs1516pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

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

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

50%vs63.2%
SciCode (Scientific Computing)

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

N/Avs54.5%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs79.5%
AIME (Advanced Math Competition)

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

82.5%vs93.4%
Long-Context Reasoning

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

88%vs90.8%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

68 tok/s vs116 tok/s

Latencia y Tiempo de Respuesta

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
Command A Plus0.56s
GPT-6 Sol1.16s
Est. End-to-End Response (500 tokens)TTFT + generation time
Command A Plus7.91s
GPT-6 Sol5.47s

Simulador Interactivo de Costos de Tokens

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)
Command A Plus Monthly API Bill
$16.43 / month
$3/1M in · $12/1M out
GPT-6 Sol Monthly API Bill
$12.15 / month
$2/1M in · $10/1M out
GPT-6 Sol saves approximately $4.28 / month (26%) under this workload.1.4x Savings

Command A Plus · Strengths & Key Advantages

  • de Cohere la mayoría de potente modelo fundacional un date, blending visión, razonamiento, y agentes
  • Flawless recuperación fundamentación con strict anti-hallucination citas verificación
  • de pesos abiertos availability para soberano national y regulated empresarial implementaciones
Considerations & Trade-offs
  • Premium API token precios ($3.00/$12.00)
  • alto hardware requirements para local clúster alojamiento propio

GPT-6 Sol · Strengths & Key Advantages

  • Roughly 50% cheaper que GPT-5.6 Sol
  • Error rate close un half del previous generación
  • sólido codificación agéntica y profesional flujos de trabajo
  • Roughly half el precio de GPT-5.6 Sol con mejor error rates
Considerations & Trade-offs
  • Weaker que GPT-6 Astra en el hardest tareas
  • Sits close en precio un GPT-6.1 Sol, which es stronger

Token Use & Task Economics

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

MetricCommand A PlusGPT-6 Sol
Cost per Task
Estimated USD to finish one task
$0.85$2.00
Output Tokens / Task
Tokens generated per task
45K62K
Reasoning Tokens / Task
Thinking tokens burned per task
22K36K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaCommand A PlusGPT-6 Sol
Official API Model ID (SDK)command-a-plusgpt-6-sol
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI Responses API & Chat Completions v1
Release Date2026-052026-09
Knowledge CutoffMarch 2026April 2026
ArchitectureFlagship Multimodal Agentic MoECost-efficient frontier unified reasoning model
ParametersConfidential (~180B+ MoE)Confidential
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 ($3/1M in) across full 128K windowFlat rate ($2/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.75/1M 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) · Vision (~258–765 tokens per image tile)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) · 112 GB VRAM (4-bit Quantized) · 387 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 Modalitiestext, visiontext, vision
Output Modalitiestexttext

Command A Plus vs GPT-6 Sol: Respuestas Rápidas (FAQ)

Which is more intelligent, Command A Plus or GPT-6 Sol?

GPT-6 Sol is more intelligent. It scores 93 compared with 58 on the composite Intelligence Index.

Which model is faster?

GPT-6 Sol is faster, generating 116 tokens per second compared with 68 tokens per second.

Which model is cheaper to run?

GPT-6 Sol is cheaper at $1.47 per 1M tokens blended, compared with $2.33 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Command A Plus has lower latency, with a time to first token of 0.56s compared with 1.16s.

Which model has a larger context window?

GPT-6 Sol has a larger context window, supporting 1M tokens compared with 128K tokens.

Veredicto

Choose Command A Plus for empresarial inteligencia platforms, soberano government automatización, y de misión crítica agente flujos de trabajo, or choose GPT-6 Sol for costo-sensitive de frontera trabajo y codificación agéntica.

Preguntas frecuentes

Which is cheaper: Command A Plus or GPT-6 Sol?+

Command A Plus costs $3/1M input and $12/1M output tokens, while GPT-6 Sol costs $2/1M input and $10/1M output tokens.

Which model has a larger context window: Command A Plus or GPT-6 Sol?+

Command A Plus supports 128K tokens whereas GPT-6 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.

Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.

Fuentes: Cohere & OpenAI Official Documentation