KAT-Coder-Pro V2.5 vs GPT-5.3 Codex
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
KAT-Coder-Pro V2.5 di Kwaipilot e GPT-5.3 Codex di OpenAI sono due modelli di IA di riferimento. KAT-Coder-Pro V2.5 offre una finestra di contesto di 256K token a $0.50/$2.00 per milione di token, mentre GPT-5.3 Codex mette a disposizione 400K token di contesto a $2.00/$16.00 per milione di token. Di seguito analizziamo benchmark, latenza e costi.
Cambia e Confronta Qualsiasi Modello
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
KAT-Coder-Pro V2.5
Leader in Programmazione e CodiceKAT-Coder-Pro V2.5 di Kwaipilot è un modello di IA progettato per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, con finestra di contesto da 256K, velocità di 80 token/s, indice di intelligenza di 85/100
$0.50 / 1M
$2.00 / 1M
256K tokens
58%
GPT-5.3 Codex
Leader in Programmazione e CodiceGPT-5.3 Codex di OpenAI è un modello di IA progettato per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, con finestra di contesto da 400K, velocità di 122 token/s, indice di intelligenza di 72/100 e tarif
$2.00 / 1M
$16.00 / 1M
400K tokens
79%
Differenze Chiave a Colpo d’Occhio
- KAT-Coder-Pro V2.5 is 6.7x cheaper for API usage (input + output tokens combined).
- GPT-5.3 Codex has a larger context window (400K vs 256K tokens).
- GPT-5.3 Codex is faster at 122 tok/s vs 80 tok/s.
- GPT-5.3 Codex leads on SWE-bench coding (79.0% vs 58.0%).
| Feature | KAT-Coder-Pro V2.5 | GPT-5.3 Codex |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 85 | 72 |
Provider | Kwaipilot | OpenAI |
Input Price Cost per million input tokens | $0.50 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $2.00 / 1M | $16.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.34 / 1M | $2.14 / 1M |
Context Window Maximum input + output tokens | 256K tokens~384 A4 pages of text | 400K tokens~600 A4 pages of text |
Max Output Tokens Per single request | 16K | 128K |
Throughput Speed Tokens generated per second | 80 tok/s | 122 tok/s |
SWE-bench Verified Real-world software engineering | 58% | 79% |
GPQA Diamond Graduate-level reasoning | 67% | 79.2% |
Cached Input Price Prompt caching discount per 1M tokens | $0.05 / 1M | $0.20 / 1M |
Chi vince in ogni categoria?
At-a-glance decision frameworkPunteggi Benchmark Verificati
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.
Latenza e Tempo di Risposta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulatore Interattivo dei Costi Token
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
KAT-Coder-Pro V2.5 · Strengths & Key Advantages
- Finestra di contesto da 256K con capacità massima di output fino a 16K token (SWE-bench Verified 58% · GPQA Diamond 67%)
- Throughput elevato di 80 token/secondo con latenza al primo token (TTFT) di soli 510 ms
- Economia API competitiva ($0.5/$2 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
- Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
- Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità
GPT-5.3 Codex · Strengths & Key Advantages
- Finestra di contesto da 400K con capacità massima di output fino a 128K token (SWE-bench Verified 79% · GPQA Diamond 79.2%)
- Throughput elevato di 122 token/secondo con latenza al primo token (TTFT) di soli 1230 ms
- Economia API competitiva ($2/$16 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
- Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
- Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | KAT-Coder-Pro V2.5 | GPT-5.3 Codex |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.18 | $2.60 |
Output Tokens / Task Tokens generated per task | 22K | 62K |
Reasoning Tokens / Task Thinking tokens burned per task | 7K | 36K |
Specifiche Tecniche
Architecture, release timeline, capabilities, and modalities.
| Feature | KAT-Coder-Pro V2.5 | GPT-5.3 Codex |
|---|---|---|
| Official API Model ID (SDK) | kat-coder-pro-v2-5 | gpt-5-3-codex |
| API Protocol | Kwaipilot REST API (OpenAI-Compatible) | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-07 | 2026-02 |
| Knowledge Cutoff | April 2026 | November 2025 |
| Architecture | Agentic Code-Specialized Transformer | Code-specialised unified reasoning model |
| Parameters | Confidential | 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) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.5/1M in) across full 256K window | Flat rate ($2/1M in) across full 400K window |
| Prompt Cache Policy & TTL | Cached input at $0.05/1M tokens | Automatic prefix caching at $0.2/1M (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 | Kwaipilot 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 |
KAT-Coder-Pro V2.5 vs GPT-5.3 Codex: Risposte Rapide (FAQ)
Which is more intelligent, KAT-Coder-Pro V2.5 or GPT-5.3 Codex?
KAT-Coder-Pro V2.5 is more intelligent. It scores 85 compared with 72 on the composite Intelligence Index.
Which model is faster?
GPT-5.3 Codex is faster, generating 122 tokens per second compared with 80 tokens per second.
Which model is cheaper to run?
KAT-Coder-Pro V2.5 is cheaper at $0.34 per 1M tokens blended, compared with $2.14 (7:2:1 cache:input:output ratio).
Which model has lower latency?
KAT-Coder-Pro V2.5 has lower latency, with a time to first token of 0.51s compared with 1.23s.
Which model has a larger context window?
GPT-5.3 Codex has a larger context window, supporting 400K tokens compared with 256K tokens.
Verdetto
Sia KAT-Coder-Pro V2.5 (Ideale per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, sistemi RAG aziendali e integrazioni API scalabili.) sia GPT-5.3 Codex (Ideale per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: KAT-Coder-Pro V2.5 guida nei benchmark di ragionamento e programmazione, GPT-5.3 Codex garantisce una generazione più rapida e KAT-Coder-Pro V2.5 offre il miglior rapporto qualità-prezzo per carichi API elevati.
Domande Frequenti (FAQ)
Quale modello è migliore per coding e ragionamento, KAT-Coder-Pro V2.5 o GPT-5.3 Codex?+
Nell’indice di intelligenza composito e nei benchmark di programmazione prevale KAT-Coder-Pro V2.5. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.
Qual è la differenza di prezzo API tra KAT-Coder-Pro V2.5 e GPT-5.3 Codex?+
KAT-Coder-Pro V2.5 costa $0.50 / $2.00 per milione di token di input/output, mentre GPT-5.3 Codex costa $2.00 / $16.00. Nel costo combinato, KAT-Coder-Pro V2.5 risulta più economico.
Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+
KAT-Coder-Pro V2.5 supporta 256K token di contesto contro 400K token di GPT-5.3 Codex, mentre GPT-5.3 Codex offre una velocità di generazione superiore.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- GPT-5.3 Codex vs KAT-Coder-Air V2.5: Confronto Benchmark, Prezzi API e Velocità (2026)Confronta
- KAT-Coder-Pro V2.5 vs KAT-Coder-Air V2.5: Confronto Benchmark, Prezzi API e Velocità (2026)Confronta
- Aion-3.0 vs Aion-Mini: Confronto Benchmark, Prezzi API e Velocità (2026)Confronta
- Aion-3.0 vs Gemini 3.6 Flash: Confronto Benchmark, Prezzi API e Velocità (2026)Confronta
- Aion-Mini vs Laguna XS 2.1: Confronto Benchmark, Prezzi API e Velocità (2026)Confronta
- Aya Expanse 32B vs Llama 3.2 90B Vision: Confronto Benchmark, Prezzi API e Velocità (2026)Confronta
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.
Fonti ufficiali: Documentazione API ufficiale di Kwaipilot e OpenAI, schede di sistema e benchmark indipendenti (2026).