As of August 30, 2026, MiniMax M1 40K is 38% cheaper per million tokens than ERNIE 4.5. ERNIE 4.5 is $0.40 / $4.00 per million input/output tokens versus MiniMax M1 40K at $0.55 / $2.20. Sources: https://anotherwrapper.com/tools/llm-pricing and https://openrouter.ai/minimax/minimax-m1
Sources: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing); OpenRouter pricing (https://openrouter.ai/minimax/minimax-m1)
ERNIE 4.5
Baidu
Input
$0.40
Output
$4.00
MiniMax M1 40K
MiniMax
Input
$0.55
Output
$2.20
Token pricing, specs, and benchmarks side by side
Each bar is share of the current leader on that eval. Click a row to open the board.
GPQA. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
ERNIE 4.5MiniMax M1 40KVerdict
MiniMax M1 40K offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.
As of August 30, 2026, MiniMax M1 40K is 38% cheaper on blended LLM API pricing. MiniMax M1 40K costs $0.55 per million input tokens and $2.20 per million output tokens ($2.75 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://openrouter.ai/minimax/minimax-m1. 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. MiniMax M1 40K OpenRouter API pricing is $0.55 input and $2.20 output per million tokens via OpenRouter. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
MiniMax M1 40K has a published SWE-bench Verified score of 55.6%. ERNIE 4.5 does not have that eval on this page yet.
ERNIE 4.5 supports a 128K token context window, while MiniMax M1 40K supports 41K tokens. ERNIE 4.5 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.
MiniMax M1 40K leads on 2 of 3 shared benchmarks versus ERNIE 4.5's 1 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 MiniMax M1 40K are production API models. For cost-sensitive production traffic, MiniMax M1 40K 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 MiniMax M1 40K through OpenRouter 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 OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-pricing and https://openrouter.ai/minimax/minimax-m1. 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 MiniMax M1 40K supports up to an unspecified number of 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 MiniMax M1 40K 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 MiniMax M1 40K 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. MiniMax M1 40K costs $0.55/M input and $2.20/M output via OpenRouter.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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