Data as of October 25, 2026 · How the score is built
Released Aug 11, 2026256K contextMicrosoft AI MAI-Code-1.1-Flash model card
MAI-Code-1.1-Flash
Decision readingMAI-Code-1.1-Flash is tracked, but not publicly ranked yet. The profile exposes 3 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Aug 11, 2026 — see all recent releases
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
Unranked
field median 50Not eligible for a public rank
Price
API rate not published
input median $0.75No comparable first-party hosted token rate
Speed
Not measured
field median 96 tok/sTime to first token not measured
Context
256Ktokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
3 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 3 displayable benchmark rows
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| CodingRank Not rankedWeight 20%2 benchmarksVerified | 59.1 | 2 benchmarks | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
3 of 766 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic1/1 verified
- Coding2/2 verified
- ReasoningNot measured
- MultimodalNot measured
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score72.6% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap23.4 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1 | Score62.9% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap29.9 behind | WeightDisplay only | Provider exact |
Agentic1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 | Score62.9% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap29.9 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 3 rowsLineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Flash
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- MAI-Code-1.1-FlashMicrosoft AI MAI-Code-1.1-Flash model card
- Context window
- 256KMicrosoft AI MAI-Code-1.1-Flash model card
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not disclosed by the provider
- Availability
- Available in GitHub Copilot for all clients since August 11, 2026 (Copilot CLI to follow), as a 138B-total, 5B-active multimodal coding model with a 256K context window and text-plus-image input. The model card lists pricing as “to be finalized” and does not document a standalone API rate.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordMicrosoft AI MAI-Code-1.1-Flash model card
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track MAI-Code-1.1-Flash, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
MAI-Code-1.1-Flash is a proprietary model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Available in GitHub Copilot for all clients since August 11, 2026 (Copilot CLI to follow), as a 138B-total, 5B-active multimodal coding model with a 256K context window and text-plus-image input. The model card lists pricing as “to be finalized” and does not document a standalone API rate.
Official exact-value snapshot from Microsoft AI’s MAI-Code-1.1-Flash model card (August 2026). BenchLM maps the agentic-coding table’s SWE-Bench Verified (72.6%) and Terminal Bench 2.1 (62.9%) pass rates onto existing lanes and keeps the token-usage columns descriptive. The vision-enabled coding rows (Text2WebApp, ScreenShot2WebApp, Vision2Web Level 3) have no exact compatible lane. Provider-run rows keep the model unranked.
3 of 766 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated October 25, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does MAI-Code-1.1-Flash perform overall in AI benchmarks?
MAI-Code-1.1-Flash has 3 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is MAI-Code-1.1-Flash good for coding and programming?
MAI-Code-1.1-Flash has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is MAI-Code-1.1-Flash good for agentic tool use and computer tasks?
MAI-Code-1.1-Flash has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Does MAI-Code-1.1-Flash have full benchmark coverage on BenchLM?
No. MAI-Code-1.1-Flash currently has 3 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of MAI-Code-1.1-Flash?
MAI-Code-1.1-Flash has a documented context window of 256K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.