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Listă scurtă de modele

Cele mai bune API-uri de modele de cod pentru agenti si code review

Compara API-uri de modele orientate pe cod dupa context, suport tool, output JSON, latenta, pret si rol recomandat in productie.

La ce folosește această listă scurtă?

Selectia unui model de cod depinde de dimensiunea repository-ului, nevoile de tool calling, fiabilitatea instructiunilor si costul outputului lung. Un asistent care citeste un codebase mare are nevoie de o economie diferita fata de o functie simpla de completare. NextModel evidentiaza contextul, suportul tool, pretul si ghidajul de folosire pentru a ajuta echipele sa aleaga un model principal si o politica de fallback.

Baza sursei: Taxonomia use case NextModel si metadatele OpenRouter pentru parametrii suportati, cand sunt disponibile.

Fit score

Candidați recomandați modele de cod

Pornește de la lista scurtă, testează prompturi reale și compară costul lunar înainte de routingul de producție.

AnthropicCatalog

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

$5 / 1M tokensInput$25 / 1M tokensOutput1MContext
Best forfrontier reasoning, large codebase review, strategy analysis
RoutingConfigured
Tool callingJSON modeLong contextReasoningStreamingVision
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
View details
AnthropicCatalog

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

$3 / 1M tokensInput$15 / 1M tokensOutput1MContext
Best forcoding agents, code review, complex writing
RoutingConfigured
Tool callingJSON modeLong contextReasoningStreamingVision
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
View details
DeepSeekCatalog

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

$0.7 / 1M tokensInput$2.50 / 1M tokensOutput163.8kContext
Best forChinese reasoning, math, analysis
RoutingConfigured
JSON modeLong contextReasoningStreamingTool calling
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
View details
VolcengineCatalog

Doubao Seed 2.0 Mini is an admin-staged public catalog draft sourced from Runtime Routing Provider.

¥0.2 / 1M tokensInput¥2 / 1M tokensOutput128kContext
Best forCoding
RoutingConfigured
StreamingJSON mode
Platform curatedNextModel admin-published catalog version; public metadata only, with live routing managed separately.
View details

Tabel comparativ

Compară lista scurtă după preț, furnizor, context, capacități și sursă.

Folosește această vedere când restrângi o shortlist de producție, construiești o politică de fallback sau compari economia modelelor.

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
Anthropic: Claude Opus 4.7anthropic/claude-opus-4.7Anthropic$5 / 1M tokens$25 / 1M tokens1M
Tool callingJSON modeLong contextReasoning
frontier reasoning, large codebase review2300-6800msCatalogOpenRouter if available
Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5Anthropic$3 / 1M tokens$15 / 1M tokens1M
Tool callingJSON modeLong contextReasoning
coding agents, code review1600-4800msCatalogOpenRouter if available
DeepSeek: R1deepseek/deepseek-r1DeepSeek$0.7 / 1M tokens$2.50 / 1M tokens163.8k
JSON modeLong contextReasoningStreaming
Chinese reasoning, math1800-6000msCatalogOpenRouter if available
Doubao Seed 2.0 Minidoubao-seed-2-0-miniVolcengine¥0.2 / 1M tokens¥2 / 1M tokens128k
StreamingJSON mode
Coding900-2600msCatalogPlatform curated
DeepSeek: DeepSeek V4 Flashdeepseek/deepseek-v4-flashDeepSeek$0.112 / 1M tokens$0.224 / 1M tokens1M
Tool callingJSON modeLong contextReasoning
low-cost Chinese tasks, long-context summary800-2600msCatalogOpenRouter if available
Qwen: Qwen3 Coder Plusqwen/qwen3-coder-plusAlibaba Cloud / Qwen$0.65 / 1M tokens$3.25 / 1M tokens1M
Tool callingJSON modeLong contextStreaming
Chinese engineering workflows, code generation1200-3900msCatalogOpenRouter if available

FAQ

Modele de cod FAQ

Ce face un model bun pentru agentii de cod?

Contextul lung, tool calling-ul fiabil, outputul structurat si urmarirea stabila a instructiunilor conteaza mai mult decat pretul brut pe token.

Cum ar trebui controlat costul agentilor de cod?

Foloseste politici de buget, compara costul outputului lung si ruteaza sarcinile simple catre modele mai ieftine inainte sa escalezi cazurile dificile.