LLM·Dex

GPT-4o mini vs Sonar Large

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

Updated

GPT-4o mini specs · Sonar Large specs
Verdict by category
  • PriceGPT-4o mini

    GPT-4o mini is roughly 1.7× cheaper on output tokens ($0.60 vs $1.00 per 1M).

  • Context windowGPT-4o mini

    GPT-4o mini accepts 128K tokens vs 127K, 1.0× the room for long documents and codebases.

  • BenchmarksTie

    No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.

  • ModalitiesGPT-4o mini

    GPT-4o mini supports 2 modalities (text, vision) vs 1 for Sonar Large.

  • OpennessTie

    Both are closed-weight, API-only.

On balance GPT-4o mini edges ahead, winning 3 of 5 categories against Sonar Large's 0. GPT-4o mini is roughly 1.7× cheaper on output tokens ($0.60 vs $1.00 per 1M). GPT-4o mini accepts 128K tokens vs 127K, 1.0× the room for long documents and codebases.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, GPT-4o mini handles text, vision while Sonar Large handles text, which can be the deciding factor before you even look at benchmarks. Both are closed-weight, API-only.

Sonar Large is the newer of the two, released 4 months after GPT-4o mini, which usually means a more recent knowledge cutoff and updated safety post-training. GPT-4o mini is usually picked for customer support and summarization workloads, while Sonar Large sees more deployments in research agent and rag. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecGPT-4o miniSonar Large
ProviderOpenAIPerplexity
ReleasedJul 2024Nov 2024
Modalitiestext, visiontext
Context window128K tokens127K tokens
Max output,,
Input · 1M$0.15 / 1M tokens$1.00 / 1M tokens
Output · 1M$0.60 / 1M tokens$1.00 / 1M tokens
Knowledge cutoff,,
Open weightsNoNo
API availableYesYes

Pricing at scale

What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.

  • Light usage, 100k in / 50k out per day$1.35 vs $4.50
  • Heavy usage, 1M in / 500k out per day$13.50 vs $45.00
  • RAG workload, 5M in / 200k out per day$26.10 vs $156

Light usage, 100k in / 50k out per day: $1.35 vs $4.50 per month, model A comes out ahead. Heavy usage, 1M in / 500k out per day: $13.50 vs $45.00 per month, model A comes out ahead. RAG workload, 5M in / 200k out per day: $26.10 vs $156 per month, model A comes out ahead.

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

  • GPT-4o mini$0.045
  • Sonar Large$0.150

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

GPT-4o miniSonar Large
  • MMLU82.0
Pick GPT-4o mini if

GPT-4o mini fits when…

  • Cheap
  • Fast
  • Mature
  • Cost-sensitive workloads, 1.7× cheaper than Sonar Large on output tokens.
  • Multimodal needs covering vision.
Pick Sonar Large if

Sonar Large fits when…

  • Web-search grounded
  • Citation-first output
  • Cheap
Don't want either?

Consider GPT-5.5

OpenAI's mid-cycle GPT-5 refresh, improved reasoning, tool use, and multimodal grounding over the 2025 launch.

Frequently asked

  • Is GPT-4o mini or Sonar Large cheaper?
    GPT-4o mini is cheaper at $0.60 / 1M tokens per million output tokens, vs $1.00 / 1M tokens for Sonar Large.
  • Which has the larger context window?
    GPT-4o mini accepts 128K tokens vs 127K for Sonar Large.
  • Is GPT-4o mini or Sonar Large better for coding?
    Both GPT-4o mini and Sonar Large are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.
  • Are either of these models open source?
    Neither model ships open weights, both are accessible only via their respective providers' APIs.
  • When were GPT-4o mini and Sonar Large released?
    GPT-4o mini was released by OpenAI on 2024-07-18. Sonar Large was released by Perplexity on 2024-11-19.
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