GPT-5 mini vs Claude Haiku 4.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
GPT-5 mini by OpenAI and Claude Haiku 4.5 by Anthropic represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, GPT-5 mini holds a notable pricing advantage for token ingestion. On output generation, GPT-5 mini is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, GPT-5 mini provides an expanded memory horizon with 400K tokens. In latency-sensitive production environments, GPT-5 mini leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.
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GPT-5 mini
Model Penalaran MendalamGPT-5 mini dari OpenAI adalah model AI canggih dengan jendela konteks 400K token serta harga API $0.25/1M token input dan $2/1M token output untuk pemrograman, penalaran, dan otomasi bisnis.
$0.25 / 1M
$2.00 / 1M
400K tokens
52%
Claude Haiku 4.5
Model Penalaran MendalamClaude Haiku 4.5 dari Anthropic adalah model AI canggih dengan jendela konteks 200K token serta harga API $1/1M token input dan $5/1M token output untuk pemrograman, penalaran, dan otomasi bisnis.
$1.00 / 1M
$5.00 / 1M
200K tokens
58.2%
Perbedaan Utama Sekilas
- GPT-5 mini is 2.8x cheaper for API usage (input + output tokens combined).
- GPT-5 mini has a larger context window (400K vs 200K tokens).
- GPT-5 mini is faster at 185 tok/s vs 140 tok/s.
- Claude Haiku 4.5 leads on SWE-bench coding (58.2% vs 52.0%).
| Feature | GPT-5 mini | Claude Haiku 4.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 46 | 54 |
Provider | OpenAI | Anthropic |
Input Price Cost per million input tokens | $0.25 / 1M | $1.00 / 1M |
Output Price Cost per million output tokens | $2.00 / 1M | $5.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.27 / 1M | $0.77 / 1M |
Context Window Maximum input + output tokens | 400K tokens~600 A4 pages of text | 200K tokens~300 A4 pages of text |
Max Output Tokens Per single request | 128K | 64K |
Throughput Speed Tokens generated per second | 185 tok/s | 140 tok/s |
SWE-bench Verified Real-world software engineering | 52% | 58.2% |
GPQA Diamond Graduate-level reasoning | 66% | 62.1% |
Cached Input Price Prompt caching discount per 1M tokens | $0.03 / 1M | $0.10 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkSkor Benchmark Terverifikasi
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.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
GPT-5 mini · Strengths & Key Advantages
- Arsitektur Compact unified reasoning model mutakhir dari OpenAI dengan dukungan konteks 400K token
- Efisiensi biaya API yang kompetitif ($0.25/1M input, $2/1M output) dan respons cepat
- Performa andal dalam pembuatan kode, analisis logika, serta pemahaman multibahasa
Considerations & Trade-offs
- Penggunaan konteks berukuran penuh memerlukan pengelolaan anggaran token yang cermat
- Membutuhkan perancangan prompt yang tepat untuk kasus penggunaan industri spesifik
Claude Haiku 4.5 · Strengths & Key Advantages
- Arsitektur Lightweight High-Speed Multimodal Transformer mutakhir dari Anthropic dengan dukungan konteks 200K token
- Efisiensi biaya API yang kompetitif ($1/1M input, $5/1M output) dan respons cepat
- Performa andal dalam pembuatan kode, analisis logika, serta pemahaman multibahasa
Considerations & Trade-offs
- Penggunaan konteks berukuran penuh memerlukan pengelolaan anggaran token yang cermat
- Membutuhkan perancangan prompt yang tepat untuk kasus penggunaan industri spesifik
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | GPT-5 mini | Claude Haiku 4.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.32 | $0.70 |
Output Tokens / Task Tokens generated per task | 50K | 20K |
Reasoning Tokens / Task Thinking tokens burned per task | 24K | 10K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | GPT-5 mini | Claude Haiku 4.5 |
|---|---|---|
| Official API Model ID (SDK) | gpt-5-mini | claude-haiku-4-5-20251001 |
| API Protocol | OpenAI Responses API & Chat Completions v1 | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2025-08 | 2025-10 |
| Knowledge Cutoff | September 2024 | July 2025 |
| Architecture | Compact unified reasoning model | Lightweight High-Speed Multimodal Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.25/1M in) across full 400K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0.025/1M (no extra cache-write fee) | $0.1/1M cached read (90% off); 5-min default & 1-hour extended TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | 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 | Native Web Search tool + Hosted Code Interpreter & File Search RAG | Native Web Search Citations + Code Execution Tool + MCP Connectors |
| Official Fine-Tuning Support | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) | Custom Model Tuning via Amazon Bedrock & Prompt Distillation |
| Multimodal Token Billing | Text 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 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 | OpenAI Preparedness Framework Audited & System Card Published | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated |
| 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, vision | text, vision |
| Output Modalities | text | text |
GPT-5 mini vs Claude Haiku 4.5: Jawaban Cepat (FAQ)
Which is more intelligent, GPT-5 mini or Claude Haiku 4.5?
Claude Haiku 4.5 is more intelligent. It scores 54 compared with 46 on the composite Intelligence Index.
Which model is faster?
GPT-5 mini is faster, generating 185 tokens per second compared with 140 tokens per second.
Which model is cheaper to run?
GPT-5 mini is cheaper at $0.27 per 1M tokens blended, compared with $0.77 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Claude Haiku 4.5 has lower latency, with a time to first token of 0.28s compared with 0.70s.
Which model has a larger context window?
GPT-5 mini has a larger context window, supporting 400K tokens compared with 200K tokens.
Kesimpulan
Verdict & Model Selection Recommendation: Choose GPT-5 mini if your priority is Cost-sensitive agents, assistants and coding help. Its performance in demanding tasks justifies its operational token cost. Choose Claude Haiku 4.5 if your workflow prioritizes High-volume customer interaction bots, real-time code autocomplete, log triage, and document routing. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.
Pertanyaan Umum (FAQ)
How does GPT-5 mini compare to Claude Haiku 4.5 in API token pricing and cost per token?+
GPT-5 mini costs $0.25 per 1M input tokens and $2.00 per 1M output tokens, whereas Claude Haiku 4.5 costs $1.00 input and $5.00 output. Overall, GPT-5 mini is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.
Which model has a larger context window: GPT-5 mini or Claude Haiku 4.5?+
GPT-5 mini supports a context window of 400K tokens (~300k words), while Claude Haiku 4.5 supports 200K tokens (~150k words). Therefore, GPT-5 mini can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: GPT-5 mini or Claude Haiku 4.5?+
GPT-5 mini scores 52% on SWE-bench Verified while Claude Haiku 4.5 scores 58.2%. For autonomous software engineering and multi-file debugging, Claude Haiku 4.5 holds the verified benchmark lead.
What is the difference in reasoning capability and extended thinking between GPT-5 mini and Claude Haiku 4.5?+
GPT-5 mini features native chain-of-thought extended thinking mode with configurable reasoning effort. In contrast, Claude Haiku 4.5 provides chain-of-thought reasoning depth for complex math and science.
How does inference speed (tokens per second) compare between GPT-5 mini and Claude Haiku 4.5?+
GPT-5 mini generates approximately 185 tokens per second, while Claude Haiku 4.5 delivers 140 tokens per second. In latency-sensitive production environments, GPT-5 mini provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining GPT-5 mini and Claude Haiku 4.5 to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to GPT-5 mini to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Claude Haiku 4.5. This tiered routing pattern cuts overall API bills by up to 70%.
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.
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