GPT-6.1 Terra vs MiniMax M3.1 Flash
aka OpenAI GPT-6.1 Terra vs M3.1-Flash
- CheaperMiniMax M3.1 Flash2/2 postsmedian gap ~2×
- FasterGPT-6.1 Terra2/2 postsmedian gap ~7.1×
As stated in each post, not a controlled benchmark.
Posts
2
Same prompt, separate runs
7Not a controlled comparison: prompts, tools and time differ.
About this matchup
GPT-6.1 Terra vs MiniMax M3.1 Flash in real side-by-side tests: 2 posts from X where both got the same prompt, with cost or time from every post. Judge coding ability from the actual outputs.
GPT-6.1 Terra vs MiniMax M3.1 Flash: which is better for coding?
Which is better for coding, GPT-6.1 Terra or MiniMax M3.1 Flash?
None of the 2 posts here names one of the two as the better result, so judge the outputs above for the work you care about.
Which is cheaper, GPT-6.1 Terra or MiniMax M3.1 Flash?
2 posts state a cost for both: MiniMax M3.1 Flash was cheaper in both (median gap ~2×). These are the costs the posts state for each run, not list prices.
Which is faster, GPT-6.1 Terra or MiniMax M3.1 Flash?
2 posts state a time for both: GPT-6.1 Terra was faster in both (median gap ~7.1×). Times are as stated in each post; tools and settings differ between posts.
Summary
GPT-6.1 Terra and MiniMax M3.1 Flash appear together in 2 posts on X: satellite Mesh Blackout benchmark, four models in OpenCode (@AlicanKiraz0) and FawnBench running deer, four budget models (@fawnunwrap). All are part of larger lineups with other models. In @AlicanKiraz0's satellite Mesh Blackout benchmark, four models in OpenCode, MiniMax M3.1 Flash was cheaper ($0.22 vs $0.42) and GPT-6.1 Terra was faster (10.9 min vs 12.6 min), as reported in the post. In @fawnunwrap's FawnBench running deer, four budget models, MiniMax M3.1 Flash was cheaper ($0.016 vs $0.032) and GPT-6.1 Terra was faster (35 s vs 7.6 min) and used fewer tokens (21K tokens vs 28K tokens), as reported in the post.
What each post reports
| Post | Model | Time | Cost | Tokens | Post |
|---|---|---|---|---|---|
| Satellite Mesh Blackout benchmark, four models in OpenCode@AlicanKiraz0 | MiniMax M3.1 Flash | 12.6 min | $0.22 | — | X post |
| Satellite Mesh Blackout benchmark, four models in OpenCode@AlicanKiraz0 | GPT-6.1 Terra | 10.9 min | $0.42 | — | X post |
| FawnBench running deer, four budget models@fawnunwrap | MiniMax M3.1 Flash | 7.6 min | $0.016 | 28,000 | X post |
| FawnBench running deer, four budget models@fawnunwrap | GPT-6.1 Terra | 35 s | $0.032 | 21,000 | X post |
Only numbers stated in each post. “—” means the post doesn’t say.
Quick facts
| Model | Vendor | Released | Input $/1M tokens | Output $/1M tokens | Context (tokens) | Official links |
|---|---|---|---|---|---|---|
| GPT-6.1 Terra | OpenAI | 2026-10-26 | Announcement | |||
| MiniMax M3.1 Flash | MiniMax | 2026-09-27 | 1,000,000 | Model docs |
From the vendors’ official pages, checked 2026-10-26. Standard API list prices; each value links its source and a blank cell could not be verified. The archive’s own numbers above are what each post states.
Models
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