The post reposted a benchmark table for MiniMax M3.1 Flash without providing an independent testing method. The visible comments, however, show a clear split: users of MiniMax's official 3.1 Flash Preview gave positive comparisons, while users of Space Bunny or early versions through OpenCode, Freebuff, and other free endpoints reported poor context retention, loops, errors, and task failures. Because the version, endpoint, quantization, client, and reasoning parameters were not standardized, the two sets of feedback cannot be combined into a conclusion about the released model.
Tasks it can help assess: Identify experience differences that may be caused by model versions, provider endpoints, and free service paths; design follow-up controlled tests for context retention, plan following, long-task completion, and error recovery in coding agents.
Tasks it should not be extrapolated to: General capability, accuracy, speed, or cost of MiniMax M3.1 Flash; extending the early/free Space Bunny endpoint experience to the official Preview; treating the reposted benchmark figures as independent reruns.
Applicable model version: The post title uses “MiniMax M3.1 Flash (Space Bunny)”; Sovairon explicitly wrote “3.1 Flash Preview provided by minimax.” The specific model snapshot is not identified.
Test environment or client: The Reddit discussion is in r/opencode; comments also mention OpenCode, Freebuff, WorkBuddy, opencode/code command, and a MiniMax subscription. The OpenCode endpoint, service plan, quantization, client version, and context limit are not specified.
Reasoning tier and parameters: The post does not provide parameters. zyxciss mentioned that Space Bunny still failed to complete the task at Max effort, but did not provide the request configuration or client version.
Open the original post through Tabbit and read the body, image, and currently visible comments. The shreddit-post created-timestamp was 2026-10-19T11:55:27.024000+0000, the post type was image, and the image URL was https://i.redd.it/ikz78c0xxewh1.jpeg.
The post body contained only three high-level summaries: Cowork (Automation-Bench 62%, ALE 30%), Coding (DeepSWE 74%), and Visual Understanding (BabyVision 91%), and claimed that the cost was approximately one-third of M3's and the speed was three times that of M3. The table in the image also listed Automation-Bench v1.0.6 62.2, OSWorld V2 61.7, Agents’ Last Exam 29.6, BankerToolBench 76.2, DeepSWE v1.1 73.7, CyberGym 82.2, and BabyVision (w/tools) 91.0. Apart from dataset versions, the post provided no harness, prompts, number of repetitions, model snapshot, cost calculation, or speed measurement method, so these are reposted published materials rather than independent tests in this post.
At collection time, the post's comment-count attribute was 54, while the page actually rendered 52 shreddit-comment elements; one newer comment was collapsed with no visible body. Only visible content is summarized below. Comment scores and relative times may change.
Group comments by the sources and tasks they explicitly identify. Comments that do not specify an endpoint or version remain unspecified; do not infer from context that they refer to the official Preview or Space Bunny.
Positive experience with the official MiniMax Preview: Sovairon (2026-10-19 13:35 UTC, score 8) said they subscribe to both MiniMax and GLM and had used the Preview for some time; for their own use cases, MiniMax Flash was better than GLM Flash. When asked whether they had tried Space Bunny, they added that the only version they had tried was the “3.1 Flash Preview” provided by MiniMax. The comment gave no task, endpoint, model snapshot, or scoring method, so it is a personal comparison.
Negative experience with a free endpoint: Candid_Historian2961 (2026-10-19 14:10 UTC, score 3) explicitly attributed the problem to the free version in OpenCode, saying that after using approximately 2–3B usage tokens, the model still could not complete a simple LDAP/Kerberos SSO component. The original “approximately 2–3B” wording is unclear, and no repository, prompt, context, or error log was provided.
Freebuff/OpenCode error reports: totoer008 (2026-10-19 12:46 UTC, score 5) called the model “trash” on Freebuff and OpenCode and said it produced many errors. They also said they usually use free models, but provided no comparable task or request settings.
Speculation about a possible quantization or endpoint difference: The original poster, RepulsiveRaisin7 (2026-10-19 13:39 UTC, score 3), asked whether Space Bunny might be using a worse quantization on the free endpoint; this is only a hypothesis about the difference and cannot be treated as a quantization fact. Yayman123 relayed from Twitter that Space Bunny was “an early version”; the original post included no link, so this cannot be verified in this record.
| User | Task or scenario | Feedback | Limitation |
|---|---|---|---|
| zyxciss (2026-10-19 15:46 UTC, score 0) | Partial LRU cache implementation; the same comment also listed the times taken by other models | Space Bunny ran for 15 days without finishing; Claude Opus 5.5, Sol 6.1, and Argon 4 finished within 30 minutes; the commenter personally wrote about 2,800 lines of code in 1.5 days | The task repository, prompt, concurrency method, client, and model endpoint were not specified; this is a single user's long-task report |
| Candid_Historian2961 (2026-10-19 14:10 UTC, score 3) | LDAP/Kerberos SSO application component | Still could not build it after approximately 2–3B usage tokens | No code, errors, or model configuration; the endpoint was only broadly described as the free version in OpenCode |
| FUSCHiA15 (2026-10-19 14:39 UTC, score 2) | Rapid iteration and plan mode | Considered Space Bunny suitable for rapid iteration but said it had poor context retention; even when asked only to provide a plan, it would continue executing on its own | No conversation, context length, or reproducible steps were provided |
| ireun (2026-10-20 20:50 UTC, score 1) | Fixing a “simple bug” | Still looping after more than an hour | The task, project, model endpoint, and runtime configuration were not specified |
| Money-String4165 (2026-10-19 14:38 UTC, score 1) | Completing cheap work tasks from explicit instructions | Thought the model was strong when instructions were sufficiently clear, but said it hallucinated and struggled in some scenarios; treated it as a cheap workhorse | The version, task samples, endpoint, and evaluation standard for “strong” were not specified |
GasSmooth7439 (2026-10-20 15:28 UTC, score 1) also thought Space Bunny might be a serious agent model and again cited Automation-Bench 62 and DeepSWE 74; this was still a positive assessment of the post's benchmark table, not an independent score. Sadlyf68 only said it was “actually really good,” while Saderius, arielif1, and others offered broadly negative assessments; none provided evidence from controlled tasks.
RepulsiveRaisin7 thought the model performed worse than GLM Flash and said “this benchmark needs to be retired.” ApprehensiveDelay238 responded that benchmarks were still the main objective tool for measuring agent performance; Mean-Elk-9439 added that benchmarks are updated over time to reduce overfitting to the data. TheMythicSorcerer argued that max effort often trades 2–3 times the cost for about a 10% improvement and said they only pay attention to the updated TerminalBench. These comments concern how to interpret benchmarks and cannot serve as performance measurements for M3.1 Flash.
Post metadata: Post ID t3_1x9uuxq; author afanasenka; creation time 2026-10-19T11:55:27.024000+0000; score at collection 276; comment-count attribute 54; post language attribute en; post type image.
Key points from the original body: Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%), Visual Understanding (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
Visible comment range: Page creation times ranged from 2026-10-19 12:00 UTC to 2026-10-21 02:26 UTC; 52 comment elements were visible at collection time, and comment scores came from the score attribute of each shreddit-comment.
Comment links:
This Reddit record supports one limited conclusion: under the same model name, the official Preview, an early Space Bunny version, the OpenCode free endpoint, and other free aggregation paths may produce different experiences. Context, plan following, loops, and error recovery in real coding tasks warrant separate measurement. Sovairon's Preview feedback can coexist with the negative feedback from multiple users about Space Bunny/free endpoints because the source conditions were not standardized.
The record cannot establish the official release's ranking, real cost, or general coding capability for MiniMax M3.1 Flash. The post only reposted a benchmark table and provided no reproduction experiment; the comments shared no common task, sample size, request configuration, or scoring rules. The LRU cache, SSO, and simple-bug reports are personal cases and cannot be treated as controlled conclusions. Claims about “worse quantization,” an “early version,” and “benchmark cheating” have no verifiable official or experimental basis in the original post and should remain labeled as commenters' speculation or opinion.
Open the original post and record the post creation time, image URL, comment count, and number of comment elements. To compare the differences, fix at least the model API ID and snapshot, the official Preview or specific free endpoint, the OpenCode/client version, quantization, context limit, effort, temperature, tool permissions, repository, and the same task set. LRU cache, LDAP/Kerberos SSO, planning without execution, and simple bug fixes can serve as task samples; record first success, loops, errors, file deletions, elapsed time, input and output tokens, and retry counts. Only after these conditions are held constant and runs are repeated can you determine whether a difference comes from the model version, endpoint, or task setup.
MiniMax M3.1 Flash
