Head-to-Head Model Comparison

North Mini Code vs KAT-Coder-Air V2.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
North Mini Code vs KAT-Coder-Air V2.5: Benchmarks, Pricing & Speed Comparison

North Mini Code dari Cohere dan KAT-Coder-Air V2.5 dari Kwaipilot adalah dua model AI unggulan. North Mini Code menawarkan jendela konteks 256K token dengan harga $0.20/$0.60 per 1 juta token, sedangkan KAT-Coder-Air V2.5 menyediakan konteks 256K token seharga $0.10/$0.40 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Popular Matchups:
Cohere

North Mini Code

Model Dasar Bobot Terbuka

North Mini Code dari Cohere adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 256K, kecepatan 125 token/detik, indeks kecerdasan 47/100, serta tarif $0.

Intelligence Index47 / 100
Input Token:

$0.20 / 1M

Output Token:

$0.60 / 1M

Context Window:

256K tokens

SWE-bench Verified:

45%

Kwaipilot

KAT-Coder-Air V2.5

Model Ringan & Hemat Biaya

KAT-Coder-Air V2.5 dari Kwaipilot adalah model AI yang dirancang untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, menghadirkan jendela konteks 256K, kecepatan 145 token/detik, indeks kecerdasan 77/100, serta

Intelligence Index77 / 100
Input Token:

$0.10 / 1M

Output Token:

$0.40 / 1M

Context Window:

256K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

  • KAT-Coder-Air V2.5 is 1.7x cheaper for API usage (input + output tokens combined).
  • KAT-Coder-Air V2.5 is faster at 145 tok/s vs 125 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureNorth Mini CodeKAT-Coder-Air V2.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
4777
Provider
CohereKwaipilot
Input Price
Cost per million input tokens
$0.20 / 1M$0.10 / 1M
Output Price
Cost per million output tokens
$0.60 / 1M$0.40 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.13 / 1M$0.07 / 1M
Context Window
Maximum input + output tokens
256K tokens~384 A4 pages of text256K tokens~384 A4 pages of text
Max Output Tokens
Per single request
16K8K
Throughput Speed
Tokens generated per second
125 tok/s145 tok/s
SWE-bench Verified
Real-world software engineering
45%N/A
GPQA Diamond
Graduate-level reasoning
55%N/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.04 / 1M$0.01 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
KAT-Coder-Air V2.5
1.7x cheaper monthly runtime
Speed
KAT-Coder-Air V2.5
+16% faster generation
Context
Tied
256K tokens window

Skor Benchmark Terverifikasi

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

North Mini CodeKAT-Coder-Air V2.5
SWE-bench Verified (Autonomous Coding)

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

45%vsN/A
GPQA Diamond (Doctorate-Level Science & Math)

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

55%vsN/A
MMLU-Pro (Multi-task Language Understanding)

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

78%vs74%
LMSYS Chatbot Arena Elo

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

1320ptsvs1285pts
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

40%vsN/A
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

68%vsN/A
Long-Context Reasoning

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

80%vsN/A
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

125 tok/s vs145 tok/s

Latensi & Waktu Respons

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
North Mini Code0.32s
KAT-Coder-Air V2.50.29s
Est. End-to-End Response (500 tokens)TTFT + generation time
North Mini Code4.32s
KAT-Coder-Air V2.53.74s

Simulator Biaya Token Interaktif

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)
North Mini Code Monthly API Bill
$0.90 / month
$0.2/1M in · $0.6/1M out
KAT-Coder-Air V2.5 Monthly API Bill
$0.53 / month
$0.1/1M in · $0.4/1M out
KAT-Coder-Air V2.5 saves approximately $0.38 / month (42%) under this workload.1.7x Savings

North Mini Code · Strengths & Key Advantages

  • Jendela konteks 256K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 45% · GPQA Diamond 55%)
  • Kecepatan generasi tinggi 125 token/detik dengan latensi token pertama (TTFT) hanya 320 ms
  • Bobot terbuka (Confidential (~20B)) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama
Considerations & Trade-offs
  • Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
  • Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

KAT-Coder-Air V2.5 · Strengths & Key Advantages

  • Jendela konteks 256K dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 74% · Arena Elo 1285)
  • Kecepatan generasi tinggi 145 token/detik dengan latensi token pertama (TTFT) hanya 290 ms
  • Skema harga API kompetitif (tarif $0.1/$0.4 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.

MetricNorth Mini CodeKAT-Coder-Air V2.5
Cost per Task
Estimated USD to finish one task
$0.15$0.03
Output Tokens / Task
Tokens generated per task
30K14K
Reasoning Tokens / Task
Thinking tokens burned per task
12K1K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureNorth Mini CodeKAT-Coder-Air V2.5
Official API Model ID (SDK)north-mini-codekat-coder-air-v2-5
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIKwaipilot REST API (OpenAI-Compatible)
Release Date2026-062026-07
Knowledge CutoffApril 2026April 2026
ArchitectureCode-Specialized Autoregressive TransformerLightweight Code-Generation Transformer
ParametersConfidential (~20B)Confidential
Enterprise Rate Limits (RPM / TPM)Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.2/1M in) across full 256K windowFlat rate ($0.1/1M in) across full 256K window
Prompt Cache Policy & TTLCached input at $0.04/1M tokensCached input at $0.01/1M tokens
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
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 toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportFull Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)API Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 12 GB VRAM (4-bit Quantized) · 43 GB VRAM (Native BF16)Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier ClassificationOpen-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)Kwaipilot Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 ControlSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext
Output Modalitiestexttext

North Mini Code vs KAT-Coder-Air V2.5: Jawaban Cepat (FAQ)

Which is more intelligent, North Mini Code or KAT-Coder-Air V2.5?

KAT-Coder-Air V2.5 is more intelligent. It scores 77 compared with 47 on the composite Intelligence Index.

Which model is faster?

KAT-Coder-Air V2.5 is faster, generating 145 tokens per second compared with 125 tokens per second.

Which model is cheaper to run?

KAT-Coder-Air V2.5 is cheaper at $0.07 per 1M tokens blended, compared with $0.13 (7:2:1 cache:input:output ratio).

Which model has lower latency?

KAT-Coder-Air V2.5 has lower latency, with a time to first token of 0.29s compared with 0.32s.

Kesimpulan

Baik North Mini Code (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun KAT-Coder-Air V2.5 (Sangat cocok untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: KAT-Coder-Air V2.5 unggul dalam penalaran dan pemrograman, KAT-Coder-Air V2.5 memberikan kecepatan generasi token lebih tinggi, dan KAT-Coder-Air V2.5 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, North Mini Code atau KAT-Coder-Air V2.5?+

Dalam indeks kecerdasan gabungan dan benchmark coding, KAT-Coder-Air V2.5 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API North Mini Code vs KAT-Coder-Air V2.5?+

North Mini Code mengenakan biaya $0.20 / $0.60 per 1M token input/output, sedangkan KAT-Coder-Air V2.5 sebesar $0.10 / $0.40. Secara keseluruhan, KAT-Coder-Air V2.5 lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

North Mini Code mendukung konteks 256K token dibandingkan 256K token pada KAT-Coder-Air V2.5, sementara KAT-Coder-Air V2.5 unggul dalam kecepatan output token per detik.

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.

Sumber resmi: Dokumentasi API resmi Cohere & Kwaipilot serta evaluasi benchmark independen (2026).