Head-to-Head Model Comparison

Qwen3 Coder Plus vs Devstral Medium

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale

Cambia e Confronta Qualsiasi Modello

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

Modello Ammiraglia di Frontiera

Qwen3 Coder Plus di Alibaba è un modello di IA progettato per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, con finestra di contesto da 1.0M, velocità di 80 token/s, indice di intelligenza di

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

IA Agentica e Strumenti Autonomi

Devstral Medium di Mistral AI è un modello di IA progettato per i workflow agentici autonomi, il tool calling e l’automazione multi-step, con finestra di contesto da 128K, velocità di 75 token/s, indice di intelligenza di 52/100 e tariffa d

Intelligence Index52 / 100

Input Token:

$0.80 / 1M

Output Token:

$2.40 / 1M

Context Window:

128K tokens

SWE-bench Verified:

51.5%

Differenze Chiave a Colpo d’Occhio

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

Chi vince in ogni categoria?

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

Punteggi Benchmark Verificati

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

Latenza e Tempo di Risposta

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

Simulatore Interattivo dei Costi Token

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

Finestra di contesto da 1.0M con capacità massima di output fino a 16K token (SWE-bench Verified 54% · GPQA Diamond 66.5%)
Throughput elevato di 80 token/secondo con latenza al primo token (TTFT) di soli 510 ms
Economia API competitiva ($0.8/$3.2 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Devstral Medium · Strengths & Key Advantages

Finestra di contesto da 128K con capacità massima di output fino a 33K token (SWE-bench Verified 51.5% · GPQA Diamond 62%)
Throughput elevato di 75 token/secondo con latenza al primo token (TTFT) di soli 500 ms
Economia API competitiva ($0.8/$2.4 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

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

Specifiche Tecniche

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: Risposte Rapide (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.

Verdetto

Sia Qwen3 Coder Plus (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia Devstral Medium (Ideale per i workflow agentici autonomi, il tool calling e l’automazione multi-step, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Qwen3 Coder Plus guida nei benchmark di ragionamento e programmazione, Qwen3 Coder Plus garantisce una generazione più rapida e Qwen3 Coder Plus offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Qwen3 Coder Plus o Devstral Medium?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Qwen3 Coder Plus. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Qwen3 Coder Plus e Devstral Medium?+

Qwen3 Coder Plus costa $0.80 / $3.20 per milione di token di input/output, mentre Devstral Medium costa $0.80 / $2.40. Nel costo combinato, Qwen3 Coder Plus risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Qwen3 Coder Plus supporta 1.05M token di contesto contro 128K token di Devstral Medium, mentre Qwen3 Coder Plus offre una velocità di generazione superiore.

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

Cambia e Confronta Qualsiasi Modello

Qwen3 Coder Plus

Devstral Medium

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Qwen3 Coder Plus · Strengths & Key Advantages

Considerations & Trade-offs

Devstral Medium · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Qwen3 Coder Plus vs Devstral Medium: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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