Hunyuan TurboS vs Gemini 4 Argon
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Hunyuan TurboS by Tencent against Gemini 4 Argon by Google across real-world coding, reasoning, token economics, and latency.
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Hunyuan TurboS
Modello IA ad Alte PrestazioniHunyuan TurboS di Tencent è un modello di intelligenza artificiale con finestra di contesto da 32K token e tariffazione API di $0.06/1M token in input e $0.24/1M in output, ideale per coding, ragionamento e automazione aziendale.
$0.06 / 1M
$0.24 / 1M
32.8K tokens
N/A
Gemini 4 Argon
Modello di Ragionamento ProfondoGemini 4 Argon di Google è un modello di intelligenza artificiale con finestra di contesto da 1M token e tariffazione API di $2/1M token in input e $10/1M in output, ideale per coding, ragionamento e automazione aziendale.
$2.00 / 1M
$10.00 / 1M
1M tokens
81.9%
Differenze Chiave a Colpo d’Occhio
- Hunyuan TurboS is 38.6x cheaper for API usage (input + output tokens combined).
- Gemini 4 Argon has a larger context window (1M vs 33K tokens).
- Hunyuan TurboS is faster at 160 tok/s vs 115 tok/s.
| Feature | Hunyuan TurboS | Gemini 4 Argon |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 70 | 97 |
Provider | Tencent | |
Input Price Cost per million input tokens | $0.06 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $0.24 / 1M | $10.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.04 / 1M | $1.47 / 1M |
Context Window Maximum input + output tokens | 32.8K tokens~49 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 4K | 1000K |
Throughput Speed Tokens generated per second | 160 tok/s | 115 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 81.9% |
GPQA Diamond Graduate-level reasoning | N/A | 81.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.01 / 1M | $0.10 / 1M |
Chi vince in ogni categoria?
At-a-glance decision frameworkEvaluations ongoing
Punteggi 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.
Hunyuan TurboS · Strengths & Key Advantages
- Architettura Lightweight Fast-Inference Transformer avanzata di Tencent con supporto fino a 32K token di contesto
- Ottimo rapporto qualità-prezzo ($0.06/1M input, $0.24/1M output) e bassa latenza
- Elevate prestazioni nei benchmark di programmazione, logica e comprensione multilingue
Considerations & Trade-offs
- L'utilizzo intensivo di contesti molto ampi richiede un attento monitoraggio dei costi dei token
- Per casi d'uso verticali complessi è consigliabile un prompt engineering mirato
Gemini 4 Argon · Strengths & Key Advantages
- Architettura Pathways Multimodal Sparse Mixture-of-Experts avanzata di Google con supporto fino a 1M token di contesto
- Ottimo rapporto qualità-prezzo ($2/1M input, $10/1M output) e bassa latenza
- Elevate prestazioni nei benchmark di programmazione, logica e comprensione multilingue
Considerations & Trade-offs
- L'utilizzo intensivo di contesti molto ampi richiede un attento monitoraggio dei costi dei token
- Per casi d'uso verticali complessi è consigliabile un prompt engineering mirato
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Hunyuan TurboS | Gemini 4 Argon |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.01 | $2.45 |
Output Tokens / Task Tokens generated per task | 8K | 75K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 36K |
Specifiche Tecniche
Architecture, release timeline, capabilities, and modalities.
| Feature | Hunyuan TurboS | Gemini 4 Argon |
|---|---|---|
| Official API Model ID (SDK) | hunyuan-turbos | models/gemini-4-argon |
| API Protocol | Tencent REST API (OpenAI-Compatible) | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2025-03 | 2026-09 |
| Knowledge Cutoff | January 2025 | June 2026 |
| Architecture | Lightweight Fast-Inference Transformer | Pathways Multimodal Sparse Mixture-of-Experts |
| 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) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.06/1M in) across full 33K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Cached input at $0.006/1M tokens | Implicit + Explicit Context Caching at $0.1/1M with configurable TTL |
| 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 | Built-in Google Search Grounding + Managed Python Code Execution Sandbox |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | Vertex AI Supervised Adapter Tuning & Context Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec) |
| 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 | Tencent Production Safety & Alignment Verified | Google DeepMind Frontier Safety Framework Verified |
| 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, audio, video |
| Output Modalities | text | text |
Hunyuan TurboS vs Gemini 4 Argon: Risposte Rapide (FAQ)
Which is more intelligent, Hunyuan TurboS or Gemini 4 Argon?
Gemini 4 Argon is more intelligent. It scores 97 compared with 70 on the composite Intelligence Index.
Which model is faster?
Hunyuan TurboS is faster, generating 160 tokens per second compared with 115 tokens per second.
Which model is cheaper to run?
Hunyuan TurboS is cheaper at $0.04 per 1M tokens blended, compared with $1.47 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Hunyuan TurboS has lower latency, with a time to first token of 0.25s compared with 0.85s.
Which model has a larger context window?
Gemini 4 Argon has a larger context window, supporting 1M tokens compared with 32.8K tokens.
Verdetto
Choose Hunyuan TurboS for automazione enterprise, sviluppo software, agenti ia autonomi e pipeline di produzione tencent, or choose Gemini 4 Argon for automazione enterprise, sviluppo software, agenti ia autonomi e pipeline di produzione google.
Domande Frequenti (FAQ)
Which is cheaper: Hunyuan TurboS or Gemini 4 Argon?+
Hunyuan TurboS costs $0.06/1M input and $0.24/1M output tokens, while Gemini 4 Argon costs $2/1M input and $10/1M output tokens.
Which model has a larger context window: Hunyuan TurboS or Gemini 4 Argon?+
Hunyuan TurboS supports 33K tokens whereas Gemini 4 Argon 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.
Fonti ufficiali: Tencent & Google Official Documentation