{"slug": "quasar-438b-intelligence-performance-and-price-analysis", "title": "Quasar 438B: Intelligence, Performance and Price Analysis", "summary": "Multiverse Computing's Quasar 438B, released on August 10, 2026, scores 43 on the Artificial Analysis Intelligence Index, well above the median of 18 for comparable reasoning models, but costs $0.60 per 1M input tokens and $1.80 per 1M output tokens, with a total evaluation cost of $1047.71. The model outputs at 182.7 tokens per second, faster than the median of 105.9 t/s, and has a 1M token context window.", "body_md": "# Quasar 438B Intelligence, Performance & Price Analysis\n\n### Model summary\n\nQuasar 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.\n\nQuasar 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.\n\nPricing 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.\n\nAt 183 tokens per second, Quasar 438B is notably fast (106).\n\n| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |\n|---|---|\n| Input modality | Supports: text |\n| Output modality | Supports: text |\n| Context window | 1M ~1500 A4 pages of size 12 Arial font |\n\nMetrics are compared against models of the same class:\n\n- Non-reasoning models → compared only with other non-reasoning models\n- Reasoning models → compared across both reasoning and non-reasoning\n- Open weights models → compared only with other open weights models of the same size class:\n- Tiny: ≤4B parameters\n- Small: 4B–40B parameters\n- Medium: 40B–150B parameters\n- Large: >150B parameters\n- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:\n- <$0.15 per 1M tokens\n- $0.15–$1 per 1M tokens\n- >$1 per 1M tokens\n\nHighlights\n\n## Intelligence\n\n[Artificial Analysis Intelligence Index](/evaluations/artificial-analysis-intelligence-index)\n\n### Artificial Analysis Intelligence Index by Open Weights / Proprietary\n\n### Intelligence Evaluations\n\nAgentic real-world work tasks, (Elo-500)/2000\n\nAgentic tool use\n\nAgentic coding & terminal use\n\nCoding\n\nReasoning & knowledge\n\nScientific reasoning\n\nPhysics reasoning\n\nKnowledge\n\n1 - hallucination rate\n\nLong context reasoning\n\nAgentic knowledge work, Elo\n\nAgentic SaaS workflows\n\nLegal agentic work, criterion pass rate\n\nAgentic business operations\n\nQuantitative analysis on spreadsheets & documents\n\nInstruction following\n\nLong-horizon agentic tasks\n\nKubernetes incident root-cause analysis\n\nVisual reasoning\n\n### AA-Omniscience\n\n### AA-Omniscience Index\n\n## Intelligence Index Comparisons\n\n### Intelligence Index vs. Cost per Intelligence Index Task\n\n## Token Use\n\n### Output Tokens per Intelligence Index Task\n\n## Cost\n\n### Cost per Intelligence Index Task\n\n### Cost to Run Artificial Analysis Intelligence Index\n\n### Pricing: Cache Hit, Input, and Output\n\n## Context Window\n\n### Context Window\n\n## Speed\n\nMeasured by Output Speed (tokens per second)\n\n### Output Speed\n\n### Time per Intelligence Index Task\n\n## Latency\n\nMeasured by Time (seconds) to First Token\n\n### Latency: Time To First Answer Token\n\n## End-to-End Response Time\n\nSeconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed\n\n### End-to-End Response Time\n\n## Frequently Asked Questions\n\nCommon questions about Quasar 438B\n\nQuasar 438B was released on August 10, 2026.\n\nQuasar 438B was created by Multiverse Computing.\n\nQuasar 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).\n\nQuasar 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).\n\nQuasar 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).\n\nQuasar 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.\n\nQuasar 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](/models/quasar-438b/providers)\n\nWhen 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).\n\nYes, Quasar 438B is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.\n\nQuasar 438B supports text input.\n\nQuasar 438B supports text output.\n\nNo, Quasar 438B does not support image input. It can only process text.\n\nNo, Quasar 438B is not multimodal. It only supports text input.\n\nQuasar 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.\n\nNo, Quasar 438B is proprietary. The model weights are not publicly available.\n\nQuasar 438B has 438 billion parameters.\n\nQuasar 438B achieves a score of 43 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.\n\nYes, Quasar 438B is available via API through 1 provider. [Compare API providers](/models/quasar-438b/providers)\n\nQuasar 438B is available through 1 API provider. [Compare providers](/models/quasar-438b/providers)", "url": "https://wpnews.pro/news/quasar-438b-intelligence-performance-and-price-analysis", "canonical_source": "https://artificialanalysis.ai/models/quasar-438b", "published_at": "2026-09-01 08:39:22+00:00", "updated_at": "2026-09-01 08:56:20.410792+00:00", "lang": "en", "topics": ["large-language-models", "ai-products", "ai-research"], "entities": ["Multiverse Computing", "Quasar 438B", "Artificial Analysis Intelligence Index"], "alternates": {"html": "https://wpnews.pro/news/quasar-438b-intelligence-performance-and-price-analysis", "markdown": "https://wpnews.pro/news/quasar-438b-intelligence-performance-and-price-analysis.md", "text": "https://wpnews.pro/news/quasar-438b-intelligence-performance-and-price-analysis.txt", "jsonld": "https://wpnews.pro/news/quasar-438b-intelligence-performance-and-price-analysis.jsonld"}}