Head-to-Head Model Comparison

Reka Core vs GPT-6 Astra

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial
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Compare Reka Core by Reka against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.

Comparação Direta (VS)

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Reka

Reka Core

Modelo de Raciocínio Profundo

O Reka Core da Reka é um modelo de inteligência artificial com janela de contexto de 128K tokens e preço de API de $3/1M na entrada e $15/1M na saída, projetado para programação, raciocínio e automação empresarial.

Intelligence Index77 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

OpenAI

GPT-6 Astra

Modelo de Raciocínio Profundo

O GPT-6 Astra da OpenAI é um modelo de inteligência artificial com janela de contexto de 1M tokens e preço de API de $10.0/1M na entrada e $50.0/1M na saída, projetado para programação, raciocínio e automação empresarial.

Intelligence Index96 / 100
Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

272K tokens

SWE-bench Verified:

82.4%

Principais Diferenças em Resumo

  • Reka Core is 3.3x cheaper for API usage (input + output tokens combined).
  • GPT-6 Astra has a larger context window (272K vs 128K tokens).
  • GPT-6 Astra is faster at 100 tok/s vs 75 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureReka CoreGPT-6 Astra
Intelligence Index
Composite reasoning & knowledge score (0-100)
7796
Provider
RekaOpenAI
Input Price
Cost per million input tokens
$3.00 / 1M$10.00 / 1M
Output Price
Cost per million output tokens
$15.00 / 1M$50.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$2.31 / 1M$7.70 / 1M
Context Window
Maximum input + output tokens
128K tokens~192 A4 pages of text272K tokens~408 A4 pages of text
Max Output Tokens
Per single request
8K128K
Throughput Speed
Tokens generated per second
75 tok/s100 tok/s
SWE-bench Verified
Real-world software engineering
N/A82.4%
GPQA Diamond
Graduate-level reasoning
N/A80.9%
Cached Input Price
Prompt caching discount per 1M tokens
$0.30 / 1M$1.00 / 1M

Quem vence em cada categoria?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Reka Core
3.3x cheaper monthly runtime
Speed
GPT-6 Astra
+33% faster generation
Context
GPT-6 Astra
272K tokens window

Pontuações de Benchmarks Verificadas

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

Reka CoreGPT-6 Astra
SWE-bench Verified (Autonomous Coding)

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

N/Avs82.4%
GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs80.9%
MMLU-Pro (Multi-task Language Understanding)

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

75%vs89.9%
LMSYS Chatbot Arena Elo

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

1270ptsvs1520pts
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.

N/Avs63.8%
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.

N/Avs93.6%
Long-Context Reasoning

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

N/Avs91.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

75 tok/s vs100 tok/s

Latência e Tempo de Resposta

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
Reka Core0.58s
GPT-6 Astra0.95s
Est. End-to-End Response (500 tokens)TTFT + generation time
Reka Core7.25s
GPT-6 Astra5.95s

Simulador Interativo de Custo 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)
Reka Core Monthly API Bill
$18.45 / month
$3/1M in · $15/1M out
GPT-6 Astra Monthly API Bill
$61.50 / month
$10/1M in · $50/1M out
Reka Core saves approximately $43.05 / month (70%) under this workload.3.3x Savings

Reka Core · Strengths & Key Advantages

  • Arquitetura Multimodal Foundation Omnimodal Transformer avançada da Reka com contexto de 128K tokens
  • Excelente relação custo-benefício ($3/1M entrada, $15/1M saída) e baixa latência
  • Forte desempenho em benchmarks de código, análise lógica e tarefas multilíngues
Considerations & Trade-offs
  • Cargas de trabalho com contexto máximo exigem monitoramento de custos de tokens
  • Requer engenharia de prompt adequada para fluxos de trabalho altamente específicos

GPT-6 Astra · Strengths & Key Advantages

  • Arquitetura Omni-Adaptive Autoregressive with Dynamic CoT avançada da OpenAI com contexto de 1M tokens
  • Excelente relação custo-benefício ($10.0/1M entrada, $50.0/1M saída) e baixa latência
  • Forte desempenho em benchmarks de código, análise lógica e tarefas multilíngues
Considerations & Trade-offs
  • Cargas de trabalho com contexto máximo exigem monitoramento de custos de tokens
  • Requer engenharia de prompt adequada para fluxos de trabalho altamente específicos

Token Use & Task Economics

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

MetricReka CoreGPT-6 Astra
Cost per Task
Estimated USD to finish one task
$0.22$2.15
Output Tokens / Task
Tokens generated per task
15K58K
Reasoning Tokens / Task
Thinking tokens burned per task
3K32K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

FeatureReka CoreGPT-6 Astra
Official API Model ID (SDK)reka-coregpt-6-astra
API ProtocolReka REST API (OpenAI-Compatible)OpenAI Responses API & Chat Completions v1
Release Date2024-042026-09
Knowledge CutoffDecember 2023June 2026
ArchitectureMultimodal Foundation Omnimodal TransformerOmni-Adaptive Autoregressive with Dynamic CoT
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($3/1M in) across full 128K windowFlat rate ($10/1M in) across full 272K window
Prompt Cache Policy & TTLCached input at $0.3/1M 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 SupportAPI Prompt Engineering & RAG DistillationSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)
Quantization & Min GPU VRAMCloud-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 ClassificationReka Production Safety & Alignment VerifiedOpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, vision, audio, videotext, vision, audio
Output Modalitiestexttext, audio

Reka Core vs GPT-6 Astra: Respostas Rápidas (FAQ)

Which is more intelligent, Reka Core or GPT-6 Astra?

GPT-6 Astra is more intelligent. It scores 96 compared with 77 on the composite Intelligence Index.

Which model is faster?

GPT-6 Astra is faster, generating 100 tokens per second compared with 75 tokens per second.

Which model is cheaper to run?

Reka Core is cheaper at $2.31 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Reka Core has lower latency, with a time to first token of 0.58s compared with 0.95s.

Which model has a larger context window?

GPT-6 Astra has a larger context window, supporting 272K tokens compared with 128K tokens.

Veredito

Choose Reka Core for automação corporativa, engenharia de software, agentes autônomos e pipelines de produção com reka, or choose GPT-6 Astra for automação corporativa, engenharia de software, agentes autônomos e pipelines de produção com openai.

Perguntas Frequentes (FAQ)

Which is cheaper: Reka Core or GPT-6 Astra?+

Reka Core costs $3/1M input and $15/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.

Which model has a larger context window: Reka Core or GPT-6 Astra?+

Reka Core supports 128K 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.

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.

Fontes oficiais: Reka & OpenAI Official Documentation