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Models›GPT-6.1 Sol

GPT-6.1 Sol

Provider prices 1

Lowest input price per billing unit. Conditions in Details.

ProviderPriceProvider model IDStatusContext / max outputSource
OpenRouter
Router catalog
Input $2USD / 1M tokensOutput $10USD / 1M tokens
openai/gpt-6.1-solCatalog-listed
Conditions

Check regional and account eligibility in provider documentation.

Context tokens 1050000Official source ↗2026-10-02
CONTEXT TOKENS1,050,000Source not recorded
MAX OUTPUT TOKENS128,000Provider-dependent
PROVIDERS1Linked in this catalog
SOURCE CHECKED2026-10-02Sources reviewed; unknown fields labeled

Specifications

Catalog model ID
openai/gpt-6.1-sol
Developer model ID / revision
Not verified in cited sources
Input modalities
file, image, text
Output modalities
text
Context / input token limit
1,050,000
Maximum output tokens
128,000
Tool calling
Not verified in cited sources
Structured output
Not verified in cited sources
API parameters (source-specific)
Not verified in cited sources
Weight access
Not verified in cited sources
Weight license / access terms
Not verified in cited sources
Total parameters (billions)
Not verified in cited sources
Active parameters (billions)
Not verified in cited sources
Download size (GB)
Depends on checkpoint and precision; no verified file size
Release date
Not verified in cited sources
Notes
Not verified in cited sources

Catalog entries link to their specification and availability sources. This is a curated selection, not every model each provider offers. Best prices are the lowest collected USD tariffs, not a total-cost estimate. Token offers are selected by input price, with output from the same tariff; workload mix may change the cheapest provider. Listed variants may require batch processing, off-peak hours, or specific media settings. Price coverage varies by provider; collected tariffs include their source and observation time. Benchmark scores are a dated snapshot, not a live feed or a universal measure of quality. They apply to the shown evaluation configuration; listed prices may use different settings. Models without verified scores are not assumed to be weaker.