As of August 20, 2026, MiniMax M1 80K is 66% cheaper per million tokens than Grok 4.5. Grok 4.5 is $2.00 / $6.00 per million input/output tokens versus MiniMax M1 80K at $0.55 / $2.20. Sources: https://docs.x.ai/docs/models and https://anotherwrapper.com/tools/llm-pricing
Sources: xAI API pricing (https://docs.x.ai/docs/models); AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)
Grok 4.5
xAI
Input
$2.00
Output
$6.00
MiniMax M1 80K
MiniMax
Input
$0.55
Output
$2.20
Token pricing, specs, and benchmarks side by side
Grok 4.5MiniMax M1 80KVerdict
MiniMax M1 80K offers significantly lower pricing, while Grok 4.5 leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.
As of August 20, 2026, MiniMax M1 80K is 66% cheaper on blended LLM API pricing. MiniMax M1 80K costs $0.55 per million input tokens and $2.20 per million output tokens ($2.75 blended 1M-in + 1M-out). Grok 4.5 costs $2.00 / $6.00 per million tokens ($8.00 blended). Sources: https://docs.x.ai/docs/models and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
Grok 4.5 xAI API pricing is $2.00 input and $6.00 output per million tokens via xAI. MiniMax M1 80K MiniMax API pricing is $0.55 input and $2.20 output per million tokens via MiniMax. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Grok 4.5 leads on SWE-bench Verified: Grok 4.5 at 86.6% vs MiniMax M1 80K at 56%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
Grok 4.5 supports a 500K token context window, while MiniMax M1 80K supports 1M tokens. MiniMax M1 80K 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.
Grok 4.5 leads on 6 of 6 shared benchmarks versus MiniMax M1 80K'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 Grok 4.5 and MiniMax M1 80K are production API models. For cost-sensitive production traffic, MiniMax M1 80K 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 Grok 4.5 through xAI and MiniMax M1 80K through MiniMax 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 xAI API pricing and MiniMax API pricing, quoted per million tokens. Official rate sheets: https://docs.x.ai/docs/models and https://anotherwrapper.com/tools/llm-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.
Grok 4.5 supports up to an unspecified number of output tokens per request, while MiniMax M1 80K supports up to 40K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Grok 4.5 has a measured throughput of approximately 80 tokens/second. Throughput data for MiniMax M1 80K is not yet available. 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 Grok 4.5 or MiniMax M1 80K 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. Grok 4.5 costs $2.00/M input and $6.00/M output. MiniMax M1 80K costs $0.55/M input and $2.20/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
280 models across 33 providers. Search or jump to a lab — every model page stays linked here.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
