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SWE-1.7

CurrentReleased Jul 8, 2026ProprietaryReasoning256K context

Released Jul 8, 2026 see all recent releases

Decision reading
SWE-1.7 is tracked, but not publicly ranked yet. The profile exposes 4 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Data as of August 22, 2026 · How the score is built

Strongest published evidence

Agentic ranks #38. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

4 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

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 58

Not eligible for a public rank

Price

Not listed

input median $1

No comparable first-party hosted token rate

Speed

Not measured

field median 91.5 tok/s

Time to first token not measured

Context

256Ktokens

field median 200,000

Reported for this model; direct source link not stored

How 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.

  1. Agentic1/1 verified
  2. Coding3/3 verified
  3. ReasoningNot measured
  4. KnowledgeNot measured
  5. MathNot measured
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

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
Not published
Context window
256K
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
Not sourced yet
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 record
Self-host
Weights are not published
Rate limits
Not tracked yet

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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #38 of 137Percentile 73rdWeight 22%1 benchmarkVerified55.2
CodingWeight 20%3 benchmarksVerifiedScore pending
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot 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.

Coding3 rows
Coding benchmark values, best verified comparison, weight, and source status
FrontierCode 1.1 MainScore42.3%Versus best verified row

Best verified: Claude Fable 5 · 53.5%

Gap11.2 behindWeightDisplay only
Terminal-Bench 2.0Score81.5%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap10.4 behindWeightDisplay only
SWE MultilingualScore77.8%Versus best verified row

Best verified: Claude Opus 5 · 89.5%

Gap11.7 behindWeightDisplay only
Agentic1 row
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score81.5%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap10.4 behindWeightWeighted 38%

Lineage

The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

Jul 8, 2026 · you are here

SWE-1.7

Not publicly ranked · Price not listed

Base entry

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 SWE-1.7, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

SWE-1.7 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.

Official exact-value snapshot from Cognition's July 8, 2026 SWE-1.7 launch post. BenchLM maps only directly comparable public rows from Cognition's benchmark table: FrontierCode 1.1 Main, Terminal-Bench 2.1, and SWE-bench Multilingual. The context window is inherited from the Kimi K2.7 base model because Cognition does not publish a separate raw context-window figure in the announcement; Cognition also reports self-compaction training for longer-horizon Devin rollouts.

4 of 402 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #38. particularly useful for coding agents, browser research, and computer-use workflows.

Radar

SWE-1.7 release history

Full release history

Frequently asked questions

How does SWE-1.7 perform overall in AI benchmarks?

SWE-1.7 has 4 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 SWE-1.7 good for coding and programming?

SWE-1.7 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 SWE-1.7 good for agentic tool use and computer tasks?

SWE-1.7 ranks #38 out of 137 eligible models for agentic tool use and computer tasks, with a public category score of 55.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Does SWE-1.7 have full benchmark coverage on BenchLM?

No. SWE-1.7 currently has 4 source-displayable rows across 402 tracked benchmark slots. 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 SWE-1.7?

SWE-1.7 has a reported context window of 256K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Last updated August 22, 2026. Runtime fields remain blank until a sourced snapshot exists.

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