AI Models · Open-Source vs Paid

gpt-oss-120b (batch) Open vs Sonar Deep Research Paid

gpt-oss-120b (batch) vs Sonar Deep Research compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

gpt-oss-120b (batch)OpenOpenAI
$0.15 /M input
$0.6 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window131K tokens
MultimodalNo
Self-hostYes
Sonar Deep ResearchPaidPerplexity
$2 /M input
$8 /M outputManaged API (no infra to run)
TypeProprietary
Context window128K tokens
MultimodalNo
Self-hostNo
Choose gpt-oss-120b (batch) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Sonar Deep Research if you want frontier capability through a managed API with zero infrastructure to run.

gpt-oss-120b (batch) vs Sonar Deep Research specs

Specgpt-oss-120b (batch)Sonar Deep ResearchWinner
MakerOpenAIPerplexity
TypeOpen-weightProprietarygpt-oss-120b (batch)
Context window131K tokens128K tokensgpt-oss-120b (batch)
Input price$0.15/M · free self-host$2/Mgpt-oss-120b (batch)
Output price$0.6/M · free self-host$8/Mgpt-oss-120b (batch)
Vision / multimodalNoNo
Tool / function callingYesNogpt-oss-120b (batch)
Self-hostableYesNo (API only)gpt-oss-120b (batch)
LicenseApache 2.0Proprietarygpt-oss-120b (batch)

Price gap & when to choose each

13×cheaper per output token

gpt-oss-120b (batch) is ~13× cheaper than Sonar Deep Research on output tokens ($0.6 vs $8 per M tokens).

Choose gpt-oss-120b (batch) if…
  • You want to self-host or run on your cloud
  • You need the longer 131K context window
  • You prioritize data privacy & control
  • You want the lowest operating costs
  • You are building open or reproducible AI
Choose Sonar Deep Research if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

Capabilitygpt-oss-120b (batch)Sonar Deep Research
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: gpt-oss-120b (batch) vs Sonar Deep Research

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

gpt-oss-120b (batch)
Sonar Deep Research
Intelligence index
12.3
Coding index
30.4
Math index
93.4
GPQA
78.2%
MMLU-Pro
80.8%
Humanity's Last Exam
19.6%
Long Context Reasoning
52%
LiveCodeBench
87.8%
SciCode
34%
AIME 2025
93.4%
IFBench
69%
τ²-Bench
65.8%
τ-Bench Banking
12.8%
Terminal-Bench
26.2%
Terminal-Bench Hard
23.5%
Speed
179 tok/s
Latency
0.51s
Intelligence per $
47.1

Benchmark data by Artificial Analysis.

How gpt-oss-120b (batch) and Sonar Deep Research score

🏆 Best value & openness: gpt-oss-120b (batch) (4.4 vs 2.3 / 5)
Criteriongpt-oss-120b (batch)Sonar Deep Research
Cost-efficiency5.03.5
Context window3.53.5
Openness5.01.5
Self-hosting5.01.0
Multimodality3.52.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

gpt-oss-120b (batch) Open

OpenAI · Open-weight

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimize

Sonar Deep Research Paid

Perplexity · Proprietary

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
gpt-oss-120bgpt-oss-20b (batch)gpt-oss-20bgpt-oss-safeguard-20b

Frequently asked questions

Is gpt-oss-120b (batch) as good as Sonar Deep Research?

gpt-oss-120b (batch) is open-weight and competitive on many tasks, but Sonar Deep Research may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run gpt-oss-120b (batch) locally?

Yes. gpt-oss-120b (batch) has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Sonar Deep Research is API-only and cannot be self-hosted.

How much cheaper is gpt-oss-120b (batch)?

gpt-oss-120b (batch) costs $0.6/M output vs $8/M for Sonar Deep Research — roughly 13x cheaper via API, and free if you self-host.

gpt-oss-120b (batch) vs Sonar Deep Research — which should I pick in 2026?

Choose gpt-oss-120b (batch) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Sonar Deep Research if you want frontier capability through a managed API with zero infrastructure to run.

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