Head-to-Head Model Comparison

Qwen3 Coder Plus vs Devstral Medium

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Qwen3 Coder PlusProfile

Devstral MediumProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen3 Coder Plus

Model Unggulan Garis Depan

Qwen3 Coder Plus dari Alibaba adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1.0M, kecepatan 80 token/detik, indeks kecerdasan 85/100, serta t

Intelligence Index85 / 100

Input Token:

$0.80 / 1M

Output Token:

$3.20 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

54%

Mistral AI

Devstral Medium

Model Agen Otonom & Alat

Devstral Medium dari Mistral AI adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 128K, kecepatan 75 token/detik, indeks kecerdasan 52/1

Intelligence Index52 / 100

Input Token:

$0.80 / 1M

Output Token:

$2.40 / 1M

Context Window:

128K tokens

SWE-bench Verified:

51.5%

Perbedaan Utama Sekilas

Devstral Medium is 1.1x cheaper for API usage (input + output tokens combined).
Qwen3 Coder Plus has a larger context window (1M vs 128K tokens).
Qwen3 Coder Plus is faster at 80 tok/s vs 75 tok/s.
Qwen3 Coder Plus leads on SWE-bench coding (54.0% vs 51.5%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Qwen3 Coder Plus	Devstral Medium
Intelligence Index Composite reasoning & knowledge score (0-100)	85	52
Provider	Alibaba	Mistral AI
Input Price Cost per million input tokens	$0.80 / 1M	$0.80 / 1M
Output Price Cost per million output tokens	$3.20 / 1M	$2.40 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.54 / 1M	$0.54 / 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	16K	33K
Throughput Speed Tokens generated per second	80 tok/s	75 tok/s
SWE-bench Verified Real-world software engineering	54%	51.5%
GPQA Diamond Graduate-level reasoning	66.5%	62%
Cached Input Price Prompt caching discount per 1M tokens	$0.08 / 1M	$0.20 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Qwen3 Coder Plus

+2.5% SWE-bench lead

Cost

Devstral Medium

1.1x cheaper monthly runtime

Speed

Qwen3 Coder Plus

+7% faster generation

Context

Qwen3 Coder Plus

1.05M tokens window

Skor Benchmark Terverifikasi

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

Qwen3 Coder PlusDevstral Medium

SWE-bench Verified (Autonomous Coding)

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

54%vs51.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

66.5%vs62%

MMLU-Pro (Multi-task Language Understanding)

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

81%vs80.5%

LMSYS Chatbot Arena Elo

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

1340ptsvs1330pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs45%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

71%vsN/A

AIME (Advanced Math Competition)

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

N/Avs72%

Long-Context Reasoning

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

N/Avs78%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs75 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

Qwen3 Coder Plus0.51s

Devstral Medium0.50s

Est. End-to-End Response (500 tokens)TTFT + generation time

Qwen3 Coder Plus6.76s

Devstral Medium7.17s

Simulator Biaya Token Interaktif

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Qwen3 Coder Plus Monthly API Bill

$4.20 / month

$0.8/1M in · $3.2/1M out

Devstral Medium Monthly API Bill

$3.66 / month

$0.8/1M in · $2.4/1M out

Devstral Medium saves approximately $0.54 / month (13%) under this workload.1.1x Savings

Qwen3 Coder Plus · Strengths & Key Advantages

Jendela konteks 1.0M dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 54% · GPQA Diamond 66.5%)
Kecepatan generasi tinggi 80 token/detik dengan latensi token pertama (TTFT) hanya 510 ms
Skema harga API kompetitif (tarif $0.8/$3.2 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

Devstral Medium · Strengths & Key Advantages

Jendela konteks 128K dengan kapasitas output maksimum hingga 33K token (SWE-bench Verified 51.5% · GPQA Diamond 62%)
Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 500 ms
Skema harga API kompetitif (tarif $0.8/$2.4 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.

Metric	Qwen3 Coder Plus	Devstral Medium
Cost per Task Estimated USD to finish one task	$0.22	$0.55
Output Tokens / Task Tokens generated per task	22K	38K
Reasoning Tokens / Task Thinking tokens burned per task	7K	18K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Qwen3 Coder Plus	Devstral Medium
Official API Model ID (SDK)	qwen3-coder-plus-instruct	devstral-medium-latest
API Protocol	Alibaba REST API (OpenAI-Compatible)	Mistral AI REST API (OpenAI-Compatible)
Release Date	2025-07	2025-07
Knowledge Cutoff	May 2025	May 2025
Architecture	Hosted Enterprise Code-Specialized Transformer	High-Capacity Agentic Code Transformer
Parameters	Confidential	Confidential (~70B)
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 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)	Flat rate ($0.8/1M in) across full 1049K window	Flat rate ($0.8/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.08/1M tokens	Cached input at $0.2/1M tokens
Computer Use / GUI Agent	API / 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 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	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	API Prompt Engineering & RAG Distillation
Multimodal Token Billing	Text BPE (~4 chars/token)	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	Alibaba Production Safety & Alignment 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	text
Output Modalities	text	text

Qwen3 Coder Plus vs Devstral Medium: Jawaban Cepat (FAQ)

Which is more intelligent, Qwen3 Coder Plus or Devstral Medium?

Qwen3 Coder Plus is more intelligent. It scores 85 compared with 52 on the composite Intelligence Index.

Which model is faster?

Qwen3 Coder Plus is faster, generating 80 tokens per second compared with 75 tokens per second.

Which model has lower latency?

Devstral Medium has lower latency, with a time to first token of 0.50s compared with 0.51s.

Which model has a larger context window?

Qwen3 Coder Plus has a larger context window, supporting 1.05M tokens compared with 128K tokens.

Kesimpulan

Baik Qwen3 Coder Plus (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Devstral Medium (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Qwen3 Coder Plus unggul dalam penalaran dan pemrograman, Qwen3 Coder Plus memberikan kecepatan generasi token lebih tinggi, dan Qwen3 Coder Plus lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Qwen3 Coder Plus atau Devstral Medium?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Qwen3 Coder Plus memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Qwen3 Coder Plus vs Devstral Medium?+

Qwen3 Coder Plus mengenakan biaya $0.80 / $3.20 per 1M token input/output, sedangkan Devstral Medium sebesar $0.80 / $2.40. Secara keseluruhan, Qwen3 Coder Plus lebih hemat biaya.

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

Qwen3 Coder Plus mendukung konteks 1.05M token dibandingkan 128K token pada Devstral Medium, sementara Qwen3 Coder Plus 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.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Qwen3 Coder Plus vs Devstral Medium

Ganti & Bandingkan Model Apa Saja

Qwen3 Coder Plus

Devstral Medium

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Qwen3 Coder Plus · Strengths & Key Advantages

Considerations & Trade-offs

Devstral Medium · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Qwen3 Coder Plus vs Devstral Medium: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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