As of August 20, 2026, GPT OSS 120B is 88% cheaper per million tokens than ERNIE 4.5. ERNIE 4.5 is $0.40 / $4.00 per million input/output tokens versus GPT OSS 120B at $0.09 / $0.45. Sources: https://anotherwrapper.com/tools/llm-pricing and https://developers.openai.com/api/docs/pricing
Sources: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing); OpenAI API pricing (https://developers.openai.com/api/docs/pricing)
ERNIE 4.5
Baidu
Input
$0.40
Output
$4.00
GPT OSS 120B
OpenAI
Input
$0.09
Output
$0.45
Token pricing, specs, and benchmarks side by side
ERNIE 4.5GPT OSS 120BVerdict
GPT OSS 120B offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.
As of August 20, 2026, GPT OSS 120B is 88% cheaper on blended LLM API pricing. GPT OSS 120B costs $0.09 per million input tokens and $0.45 per million output tokens ($0.54 blended 1M-in + 1M-out). ERNIE 4.5 costs $0.40 / $4.00 per million tokens ($4.40 blended). Sources: https://anotherwrapper.com/tools/llm-pricing and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
ERNIE 4.5 Baidu API pricing is $0.40 input and $4.00 output per million tokens via Baidu. GPT OSS 120B OpenAI API pricing is $0.09 input and $0.45 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
GPT OSS 120B has a published SWE-bench Verified score of 33.6%. ERNIE 4.5 does not have that eval on this page yet.
ERNIE 4.5 supports a 128K token context window, while GPT OSS 120B supports 131K tokens. GPT OSS 120B offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
GPT OSS 120B leads on 3 of 3 shared benchmarks versus ERNIE 4.5's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Both ERNIE 4.5 and GPT OSS 120B are production API models. For cost-sensitive production traffic, GPT OSS 120B has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Yes. Call ERNIE 4.5 through Baidu and GPT OSS 120B through OpenAI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
List rates are the latest published Baidu API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-pricing and https://developers.openai.com/api/docs/pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
ERNIE 4.5 supports up to 66K output tokens per request, while GPT OSS 120B supports up to 131K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Neither ERNIE 4.5 nor GPT OSS 120B has published throughput data on this page yet. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open ERNIE 4.5 or GPT OSS 120B from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. ERNIE 4.5 costs $0.40/M input and $4.00/M output. GPT OSS 120B costs $0.09/M input and $0.45/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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