Coding guide

Best AI models for coding

This page ranks live models that fit code generation, debugging, refactors, and code review using current reasoning, tools, context, and pricing signals from the TVP catalog.

Live signalReasoning support for harder debugging and multi-step code tasks
Live signalTool support for agentic coding, retrieval, and structured workflows
Live signalLarge context windows for repositories, logs, and diffs
Live signalLive token pricing so shortlist decisions are cost-aware
Fast answer

Start with the live shortlist, then validate the route

TVP prioritizes models with reasoning support, tool use, large context windows, and live billable pricing because those signals map well to code generation and debugging workloads.

Data source and freshness

Catalog-backed, not a static price sheet

TVP refreshes this page from the live OpenRouter model catalog. This render used 685 public model records and was synchronized Oct 27, 2026, 9:56 AM UTC. Pricing, availability, and context values can change.

Verify the exact route before sending production traffic, then use the linked model and provider pages as the source for current values. Read the TVP data methodology.

Shortlist

Top live candidates right now

x-ai

SpaceXAI: Grok 4.20

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

Context2,000,000
Input$1.25
Output$2.50

2,000,000 token context, tool support, and live billable pricing make this a practical coding candidate.

  • text
  • image
  • file
  • tools
  • structured
openai

OpenAI: GPT-6 Luna (batch)

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...

Context1,050,000
Input$0.05
Output$0.25

1,050,000 token context, tool support, and live billable pricing make this a practical coding candidate.

  • file
  • image
  • text
  • tools
  • structured
openai

OpenAI: GPT-6 Luna Pro (batch)

GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

Context1,050,000
Input$0.05
Output$0.25

1,050,000 token context, tool support, and live billable pricing make this a practical coding candidate.

  • file
  • image
  • text
  • tools
  • structured
xiaomi

Xiaomi: MiMo-V2.6-Flash

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...

Context1,050,000
Input$0.14
Output$0.28

1,050,000 token context, tool support, and live billable pricing make this a practical coding candidate.

  • text
  • image
  • video
  • audio
  • tools
  • structured
~openai

OpenAI: GPT Luna Latest

This model always redirects to the latest model in the GPT Luna family.

Context1,050,000
Input$0.1
Output$0.5

1,050,000 token context, tool support, and live billable pricing make this a practical coding candidate.

  • file
  • image
  • text
  • tools
  • structured
FAQ

What buyers usually ask

What makes a good coding model on TVP?

TVP prioritizes models with reasoning support, tool use, large context windows, and live billable pricing because those signals map well to code generation and debugging workloads.

Should I choose the cheapest coding model?

Not always. Low price helps with throughput, but coding quality often depends on reasoning depth and context size. The best choice depends on whether you optimize for speed, cost, or fewer review passes.

Next step

Use the guide, then validate the route in live TVP data.

TVP keeps the shortlist connected to the current catalog, provider coverage, and token pricing so buyers can move from research to routing without starting over.