MiMo-V2.6-Pro vs GLM-5.3
MiMo-V2.6-Pro and GLM-5.3 are within three points on the Models at Work leaderboard, which we treat as a tie (70 vs 68 out of 100). On independent tests alone they are also level (63 vs 66). MiMo-V2.6-Pro is cheaper: 1,000 support replies cost about $1.64 at list price, against $5.96 on GLM-5.3, which is 3.6 times as much. On the Artificial Analysis Intelligence Index, one of the independent tests, GLM-5.3 leads 32 to 30.
| MiMo-V2.6-Pro · Xiaomi | GLM-5.3 · Z.ai | |
|---|---|---|
| Leaderboard rank | #7 | #9 |
| Score (0–100) | 70 | 68 |
| Kind of work | Run it yourself | Run it yourself |
| Price per 1M tokens | $0.43 to read · $0.87 to write | $1.40 to read · $4.40 to write |
| Reads at once | 1M tokens (about 750,000 words) | 1M tokens (about 750,000 words) |
| Where you can get it | OpenRouter | Amazon Bedrock, Z.ai API |
| Can a company host it itself | Yes (open weights) | Yes (open weights) |
| Artificial Analysis Intelligence Index | 30 | 32 |
| Arena Text score | 1480 (rank 26) | 1478 (rank 27) |
| Arena WebDev score | 1629 (rank 19) | 1622 (rank 22) |
| Humanity's Sixth Sense (Scale) | 25.20 | Not measured |
| Scale SWE-Bench Pro V2 (mini-swe-agent) | Not measured | 84.30% |
| Scale MCP Atlas | Not measured | 84.20 |
| Humanity's Last Exam, Diamond (Scale) | Not measured | 16.40 |
| Best for | Overnight batch analysis, Running AI on your own servers, Replacing a mid-priced closed model | Running AI on your own servers, Automating multi-step back-office tasks, Cutting the bill on work now sent to a top-tier model |
Cost of 1,000 jobs
| 1,000 of these | MiMo-V2.6-Pro | GLM-5.3 |
|---|---|---|
| Support repliesthe customer message, the account notes and two help articles read; a 300-word reply written | $1.64 | $5.96 |
| Documents processeda two-page invoice or form read; the fields pulled out | $1.12 | $4.12 |
| Calls summariseda 40-minute call transcript read; a summary and next steps written | $4.82 | $17 |
| Contracts revieweda 40-page contract read against a checklist; a memo of issues written | $14 | $49 |
| Drafts writtena brief and one example read; a 600-word email or proposal section written | $1.34 | $5.62 |
Worked out from each vendor’s list price and a fixed size for each job. A product built on a model charges its own price on top. See what every model costs for the same jobs.
Choose MiMo-V2.6-Pro for
- Overnight batch analysis
- Running AI on your own servers
- Replacing a mid-priced closed model
Xiaomi's open model costs about a fifteenth of Claude Opus 5.5 at list price and scores 30 on Artificial Analysis's index, level with the other open leaders; it is slow and long-winded.
Caveats: It writes long chains of working-out even on simple edits, which you pay for and wait for. About 47 tokens (word-pieces) a second on Xiaomi's own service, far slower than the fast models here. The only place to buy we confirmed is OpenRouter, a reseller that passes requests to Xiaomi and four other hosts; no major US cloud was found carrying it. The blind-vote ranking (Arena) rests on about 4,000 votes and is still settling. It ranks 7th because the scoring marks every model on where a business can buy it, and one reseller is the only route we confirmed. Places 3 to 7 sit within two points of each other, which is a tie.
Choose GLM-5.3 for
- Running AI on your own servers
- Automating multi-step back-office tasks
- Cutting the bill on work now sent to a top-tier model
The open model with the best user reports on the board, at about a quarter of Claude Opus 5.5's list price, and one a company can run on its own servers; read the licence first.
Caveats: The licence is unclear: Artificial Analysis lists a custom licence with commercial limits while Arena lists the permissive MIT licence. Have legal read it before you host it. It refuses fewer security-related requests than US models, which users report as a selling point; that is a governance question for everyone else. Z.ai is a Chinese vendor: its own service means data leaves for its servers. Amazon Bedrock lists the model at a higher price ($1.68 in / $5.28 out per million tokens).
What people running them say
MiMo-V2.6-Pro: Hacker News, a developer forum (1,130 upvotes), was won over less by test scores than by Xiaomi's openness: a live view of the model's training, with progress charts, dropped datasets and running cost estimates. Users call it 'incredibly cheap' for test results level with Meta's Muse Spark and say it keeps DeepSeek and GLM 'in check'. The complaints agree: 'faster than DeepSeek but still much slower than leading models', and it 'seems to overthink way too much'. Several recommend buying it through OpenRouter, a reseller, rather than the vendor's own service in China.
GLM-5.3: One of the year's biggest launches on Hacker News, a developer forum (1,171 upvotes, 584 comments). People who ran it report that it works inside Claude Code, Anthropic's coding tool, with 'zero issues'; that work costing '$5 in tokens' on Claude costs '$0.50' on GLM; and that in code reviews it 'routinely finds bugs missed by Fable and Sol'. The controversy was security: users bragged of having it adapt attack code for operating systems that 'Claude and Opus outright refused', and others warned that the public download could be a weakened version.
Questions people ask
Which is better, MiMo-V2.6-Pro or GLM-5.3?
MiMo-V2.6-Pro and GLM-5.3 are within three points on the Models at Work leaderboard, which we treat as a tie (70 vs 68 out of 100). On independent tests alone they are also level (63 vs 66). MiMo-V2.6-Pro is cheaper: 1,000 support replies cost about $1.64 at list price, against $5.96 on GLM-5.3, which is 3.6 times as much. On the Artificial Analysis Intelligence Index, one of the independent tests, GLM-5.3 leads 32 to 30.
When should I choose MiMo-V2.6-Pro over GLM-5.3?
Choose MiMo-V2.6-Pro for overnight batch analysis, running ai on your own servers, replacing a mid-priced closed model. Xiaomi's open model costs about a fifteenth of Claude Opus 5.5 at list price and scores 30 on Artificial Analysis's index, level with the other open leaders; it is slow and long-winded.
When should I choose GLM-5.3 over MiMo-V2.6-Pro?
Choose GLM-5.3 for running ai on your own servers, automating multi-step back-office tasks, cutting the bill on work now sent to a top-tier model. The open model with the best user reports on the board, at about a quarter of Claude Opus 5.5's list price, and one a company can run on its own servers; read the licence first.
Which is cheaper, MiMo-V2.6-Pro or GLM-5.3?
MiMo-V2.6-Pro costs $0.43 per million tokens it reads (input) and $0.87 per million tokens it writes (output) on Xiaomi's list price (MiMo-V2.6-Pro - Artificial Analysis, read Nov 12, 2026). A token is about three-quarters of a word. GLM-5.3 costs $1.40 per million tokens it reads (input) and $4.40 per million tokens it writes (output) on Z.ai's list price (Z.ai Pricing, read Nov 12, 2026). A token is about three-quarters of a word.
What do 1,000 jobs cost on MiMo-V2.6-Pro and GLM-5.3?
At list price: 1,000 support replies cost $1.64 on MiMo-V2.6-Pro and $5.96 on GLM-5.3; 1,000 documents processed cost $1.12 on MiMo-V2.6-Pro and $4.12 on GLM-5.3; 1,000 calls summarised cost $4.82 on MiMo-V2.6-Pro and $17 on GLM-5.3; 1,000 contracts reviewed cost $14 on MiMo-V2.6-Pro and $49 on GLM-5.3; 1,000 drafts written cost $1.34 on MiMo-V2.6-Pro and $5.62 on GLM-5.3. A product built on either model charges its own price on top.
Scores come from the Models at Work leaderboard: Score is 0 to 100 and computed, not typed. 40% is independent testing (Artificial Analysis, Arena, Scale, Epoch, Vals and others; each test is scaled against the best score on this board, and tests of real work, such as finished freelance projects or professional tasks, count double the exams). 30% is price: the vendor's list price for a typical mix of reading and writing, on a fixed scale from $0.05 to $60 per million tokens, so a model that costs a fifth as much gains real ground. 15% is what people report after running it, from Signals and linked threads. 15% is fit: how much text it can take in at once and where a business can get it (the products and clouds that carry it), with a small credit for open weights. A missing component drops out and the rest are reweighted. A model with no independent test yet is provisional and ranks below every measured one. Within three points is a tie. Vendor-published figures are labelled and never counted. Prices are vendor list prices where published; a typical mix assumes three parts reading to one part writing.