Data as of October 17, 2026 · How the score is built
Released Sep 2, 20261M contextCompactifAI Quasar 438B documentation
Quasar 438B
Decision readingQuasar 438B scores 48.5 out of 100 and ranks #106 of 224. This profile shows 2 source-displayable benchmark rows; its strongest eligible category is Coding at #63. API pricing is $0.6 input and $1.8 output per million tokens.
Released Sep 2, 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
48.5/100
field median 49.6#106 of 224 ranked models
Public
#106of 224
Verified —
Price
$0.60input / $1.80 output
input median $0.75blended $1.20
Speed
135tok/s
field median 92 tok/sFirst token 16.18 s
Context
1Mtokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Coding ranks #63. Particularly well-suited for software development and code generation tasks.
Validate before choosing
2 published rows leave some tracked benchmark slots empty. Agentic is its lowest eligible category at #67.
Source-linked · 2 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 |
|---|---|---|---|---|---|---|
| AgenticRank #67 of 128Percentile 48thWeight 22%1 benchmarkVerified | 40.0 | 1 benchmark | Verified | |||
| CodingRank #63 of 150Percentile 58thWeight 20%1 benchmarkVerified | 41.2 | 1 benchmark | 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 |
2 of 681 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
- Coding1/1 verified
- ReasoningNot measured
- MultimodalNot measured
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Quasar 438B category percentile values
- Agentic48th percentile
- Coding58th percentile
- ReasoningNot eligible
- MultimodalNot eligible
- KnowledgeNot eligible
- MultilingualNot eligible
- Instruction followingNot eligible
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#67/128
- Coding#63/150
- ReasoningNot ranked
- MultimodalNot ranked
- KnowledgeNot ranked
- MultilingualNot ranked
- Inst. FollowingNot ranked
- MathNot ranked
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.
Coding1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 | Score69.3% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap23.5 behind | WeightScored in Agentic | Provider exact |
Agentic1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 | Score69.3% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap23.5 behind | Weight8% ref. weight | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 2 rowsWhat it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
Quasar 438B · 48.5 score · $1.20 blended per million tokens
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
Lineage
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.
438b · 438B
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
- quasar-438bCompactifAI Quasar 438B documentation
- Context window
- 1MCompactifAI API pricing
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yetCompactifAI Quasar 438B documentation
- Output modalities
- Not sourced yetCompactifAI Quasar 438B documentation
- Parameters
- Not disclosed by the provider
- Availability
- CompactifAI APICompactifAI Quasar 438B documentation
- Cloud regions
- Not tracked yet
- Lifecycle
- activeCompactifAI Quasar 438B documentation
- API capabilities
- OpenAI-compatible chat completions · tool calling · structured outputCompactifAI Quasar 438B documentation
- Prompt caching
- Not documented in the pricing recordCompactifAI API pricing
- 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.
Quasar 438B ranks #106 of 224 on the public leaderboard with a score of 48.46/100. It does not yet have enough sourced coverage for a verified position.
Quasar 438B is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Available through the OpenAI-compatible CompactifAI API as `quasar-438b`. The API supports chat completions, tool calling, structured output, and always-on reasoning with `high` and `max` effort; `max` is the default.
Multiverse Computing's September 2, 2026 launch page reports Quasar 438B at 69.3 on Terminal-Bench 2.1. We keep the result display-only and leave the model unranked until independent benchmark coverage clears the ranking gate. The supplied external profile informs a separate internal calibration signal and reports a 1 million-token context window; first-party model documentation does not yet publish an exact context limit.
2 of 681 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Coding at #63, while its lowest eligible position is Agentic at #67. particularly well-suited for software development and code generation tasks.
Last updated October 17, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does Quasar 438B perform overall in AI benchmarks?
Quasar 438B ranks #106 out of 224 models on the public BenchAlign leaderboard, with a score of 48.46/100. Its evidence status is Estimated, and this profile shows 2 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Quasar 438B good for coding and programming?
Quasar 438B ranks #63 out of 150 eligible models for coding and programming, with a public category score of 41.2/100. 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.
Is Quasar 438B good for agentic tool use and computer tasks?
Quasar 438B ranks #67 out of 128 eligible models for agentic tool use and computer tasks, with a public category score of 40/100. 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 Quasar 438B have full benchmark coverage on BenchLM?
No. Quasar 438B currently has 15 source-displayable rows across 681 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 Quasar 438B?
Quasar 438B has a documented context window of 1M. 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.