Gemini 1.5 Flash-8B vs Ministral 8B
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Gemini 1.5 Flash-8B dari Google dan Ministral 8B dari Mistral AI adalah dua model AI unggulan. Gemini 1.5 Flash-8B menawarkan jendela konteks 1.05M token dengan harga $0.04/$0.15 per 1 juta token, sedangkan Ministral 8B menyediakan konteks 128K token seharga $0.10/$0.10 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Gemini 1.5 Flash-8B
AI Multimodal AsliGemini 1.5 Flash-8B dari Google adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 1.0M, kecepatan 160 token/detik, indeks kecerdasan 37/100, serta ta
$0.04 / 1M
$0.15 / 1M
1.05M tokens
24.5%
Ministral 8B
Model Ringan & Hemat BiayaMinistral 8B dari Mistral AI adalah model AI yang dirancang untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, menghadirkan jendela konteks 128K, kecepatan 110 token/detik, indeks kecerdasan 38/100, serta tari
$0.10 / 1M
$0.10 / 1M
128K tokens
32.5%
Perbedaan Utama Sekilas
- Gemini 1.5 Flash-8B is 1.5x cheaper for API usage (input + output tokens combined).
- Gemini 1.5 Flash-8B has a larger context window (1M vs 128K tokens).
- Gemini 1.5 Flash-8B is faster at 160 tok/s vs 110 tok/s.
- Ministral 8B leads on SWE-bench coding (32.5% vs 24.5%).
| Feature | Gemini 1.5 Flash-8B | Ministral 8B |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 37 | 38 |
Provider | Mistral AI | |
Input Price Cost per million input tokens | $0.04 / 1M | $0.10 / 1M |
Output Price Cost per million output tokens | $0.15 / 1M | $0.10 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.03 / 1M | $0.07 / 1M |
Context Window Maximum input + output tokens | 1.05M tokens~1,573 A4 pages of text | 128K tokens~192 A4 pages of text |
Max Output Tokens Per single request | 8K | 8K |
Throughput Speed Tokens generated per second | 160 tok/s | 110 tok/s |
SWE-bench Verified Real-world software engineering | 24.5% | 32.5% |
GPQA Diamond Graduate-level reasoning | 38.2% | 41.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.01 / 1M | $0.05 / 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.
Gemini 1.5 Flash-8B · Strengths & Key Advantages
- Jendela konteks 1.0M dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 24.5% · GPQA Diamond 38.2%)
- Kecepatan generasi tinggi 160 token/detik dengan latensi token pertama (TTFT) hanya 250 ms
- Skema harga API kompetitif (tarif $0.0375/$0.15 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi
Ministral 8B · Strengths & Key Advantages
- Jendela konteks 128K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 32.5% · GPQA Diamond 41.5%)
- Kecepatan generasi tinggi 110 token/detik dengan latensi token pertama (TTFT) hanya 330 ms
- Skema harga API kompetitif (tarif $0.1/$0.1 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Gemini 1.5 Flash-8B | Ministral 8B |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.04 | $0.08 |
Output Tokens / Task Tokens generated per task | 18K | 21K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Gemini 1.5 Flash-8B | Ministral 8B |
|---|---|---|
| Official API Model ID (SDK) | models/gemini-1-5-flash-8b | ministral-8b-latest |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Mistral AI REST API (OpenAI-Compatible) |
| Release Date | 2024-10 | 2024-10 |
| Knowledge Cutoff | May 2024 | October 2024 |
| Architecture | High-Throughput Multimodal Transformer | Compact Dense Transformer with Interleaved Sliding Window |
| Parameters | 8B | 8B |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Flat rate ($0.1/1M in) across full 128K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0.01/1M with configurable TTL | Cached input at $0.05/1M tokens |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) |
| 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 | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | API Prompt Engineering & RAG Distillation |
| Multimodal Token Billing | Text 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) |
| 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 | Google DeepMind Frontier Safety Framework Verified | Mistral AI Production Safety & Alignment 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, vision, audio, video | text |
| Output Modalities | text | text |
Gemini 1.5 Flash-8B vs Ministral 8B: Jawaban Cepat (FAQ)
Which is more intelligent, Gemini 1.5 Flash-8B or Ministral 8B?
Ministral 8B is more intelligent. It scores 38 compared with 37 on the composite Intelligence Index.
Which model is faster?
Gemini 1.5 Flash-8B is faster, generating 160 tokens per second compared with 110 tokens per second.
Which model is cheaper to run?
Gemini 1.5 Flash-8B is cheaper at $0.03 per 1M tokens blended, compared with $0.07 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Gemini 1.5 Flash-8B has lower latency, with a time to first token of 0.25s compared with 0.33s.
Which model has a larger context window?
Gemini 1.5 Flash-8B has a larger context window, supporting 1.05M tokens compared with 128K tokens.
Kesimpulan
Baik Gemini 1.5 Flash-8B (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Ministral 8B (Sangat cocok untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Ministral 8B unggul dalam penalaran dan pemrograman, Gemini 1.5 Flash-8B memberikan kecepatan generasi token lebih tinggi, dan Gemini 1.5 Flash-8B lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Gemini 1.5 Flash-8B atau Ministral 8B?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Ministral 8B memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Gemini 1.5 Flash-8B vs Ministral 8B?+
Gemini 1.5 Flash-8B mengenakan biaya $0.04 / $0.15 per 1M token input/output, sedangkan Ministral 8B sebesar $0.10 / $0.10. Secara keseluruhan, Gemini 1.5 Flash-8B lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Gemini 1.5 Flash-8B mendukung konteks 1.05M token dibandingkan 128K token pada Ministral 8B, sementara Gemini 1.5 Flash-8B unggul dalam kecepatan output token per detik.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- Gemini 2.0 Flash-Lite vs Gemini 1.5 Flash-8B: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Ministral 3B vs Gemini 1.5 Flash-8B: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Ministral 8B vs Ministral 3B: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
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- Aion-Mini vs Laguna XS 2.1: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
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.
Sumber resmi: Dokumentasi API resmi Google & Mistral AI serta evaluasi benchmark independen (2026).