Model summary
Quasar 438B is amongst the leading models in intelligence, but particularly expensive when comparing to other models of similar price. It's also notably fast, however very verbose. The model supports text input, outputs text, and has a 1M tokens context window.
Quasar 438B scores 43 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 18). When evaluating the Intelligence Index, it generated 350M tokens, which is very verbose in comparison to the median of 67M.
Pricing for Quasar 438B is $0.60 per 1M input tokens (expensive, median: $0.25) and $1.80 per 1M output tokens (expensive, median: $0.90). In total, it cost $1047.71 to evaluate Quasar 438B on the Intelligence Index.
At 183 tokens per second, Quasar 438B is notably fast (106).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 1M ~1500 A4 pages of size 12 Arial font |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
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Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
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<$0.15 per 1M tokens
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$0.15–$1 per 1M tokens
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$1 per 1M tokens Highlights
Intelligence #
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (Elo-500)/2000 Agentic tool use
Agentic coding & terminal use
Coding
Reasoning & knowledge
Scientific reasoning
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Agentic knowledge work, Elo
Agentic SaaS workflows
Legal agentic work, criterion pass rate
Agentic business operations
Quantitative analysis on spreadsheets & documents
Instruction following
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
AA-Omniscience
AA-Omniscience Index
Intelligence Index Comparisons #
Intelligence Index vs. Cost per Intelligence Index Task
Token Use #
Output Tokens per Intelligence Index Task
Cost #
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window #
Context Window
Speed #
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
Latency #
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time #
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Frequently Asked Questions #
Common questions about Quasar 438B
Quasar 438B was released on August 10, 2026.
Quasar 438B was created by Multiverse Computing.
Quasar 438B scores 43 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 18).
Quasar 438B generates output at 182.7 tokens per second (based on Multiverse Computing's API), which is well above average compared to other reasoning models in a similar price tier (median: 105.9 t/s).
Quasar 438B has a time to first token (TTFT) of 1.09s (based on Multiverse Computing's API), which is very competitive compared to other reasoning models in a similar price tier (median: 2.01s).
Quasar 438B costs $0.60 per 1M input tokens (at the higher end, median: $0.25) and $1.80 per 1M output tokens (at the higher end, median: $0.90), based on Multiverse Computing's API.
Quasar 438B costs $0.60 per 1M input tokens and $1.80 per 1M output tokens (based on Multiverse Computing's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.72 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Quasar 438B generated 350M output tokens, which is at the higher end compared to other reasoning models in a similar price tier (median: 67M).
Yes, Quasar 438B is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Quasar 438B supports text input.
Quasar 438B supports text output.
No, Quasar 438B does not support image input. It can only process text.
No, Quasar 438B is not multimodal. It only supports text input.
Quasar 438B has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
No, Quasar 438B is proprietary. The model weights are not publicly available.
Quasar 438B has 438 billion parameters.
Quasar 438B achieves a score of 43 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Quasar 438B is available via API through 1 provider. Compare API providers
Quasar 438B is available through 1 API provider. Compare providers