{"slug": "deepseek-v4-flash-vision-intelligence-performance-and-price-analysis", "title": "DeepSeek V4 Flash Vision Intelligence, Performance and Price Analysis", "summary": "DeepSeek V4 Flash Vision (Reasoning, Max Effort), released by DeepSeek on August 21, 2026, scores 51 on the Artificial Analysis Intelligence Index, well above the median of 17, and is priced at $0.44 per 1M input tokens and $1.32 per 1M output tokens. The model supports text and image input, outputs text, has a 1M token context window, and generates output at 120 tokens per second, faster than the average of 109.", "body_md": "# DeepSeek V4 Flash Vision (Reasoning, Max Effort) Intelligence, Performance & Price Analysis\n\n### Model summary\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) is amongst the leading models in intelligence and reasonably priced when comparing to other models of similar price. It's also faster than average, however very verbose. The model supports text and image input, outputs text, and has a 1M tokens context window.\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) scores 51 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 17). When evaluating the Intelligence Index, it generated 130M tokens, which is very verbose in comparison to the median of 61M.\n\nPricing for DeepSeek V4 Flash Vision (Reasoning, Max Effort) is $0.44 per 1M input tokens (expensive, median: $0.25) and $1.32 per 1M output tokens (somewhat expensive, median: $0.91). In total, it cost $235.89 to evaluate DeepSeek V4 Flash Vision (Reasoning, Max Effort) on the Intelligence Index.\n\nAt 120 tokens per second, DeepSeek V4 Flash Vision (Reasoning, Max Effort) is faster than average (109).\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 and image |\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\n\n### Artificial Analysis Intelligence Index by Open Weights / Proprietary\n\n### Intelligence Evaluations\n\nAgentic real-world work tasks, (Elo-500)/2000\n\n[𝜏³-Banking](/evaluations/tau3-banking)Updated\n\nAgentic tool use\n\nAgentic coding & terminal use\n\nCoding\n\n[Humanity's Last Exam](/evaluations/humanitys-last-exam)Updated\n\nReasoning & knowledge\n\nScientific reasoning\n\nPhysics reasoning\n\n[AA-Omniscience Accuracy](/evaluations/omniscience)Updated\n\nKnowledge\n\n1 - hallucination rate\n\n[AA-LCR](/evaluations/artificial-analysis-long-context-reasoning)Updated\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 DeepSeek V4 Flash Vision (Reasoning, Max Effort)\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) was released on August 21, 2026.\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) was created by DeepSeek.\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) scores 51 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 17).\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) generates output at 120.0 tokens per second (based on DeepSeek's API), which is above average compared to other reasoning models in a similar price tier (median: 109.0 t/s).\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) has a time to first token (TTFT) of 0.91s (based on DeepSeek's API), which is very competitive compared to other reasoning models in a similar price tier (median: 2.00s).\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) costs $0.44 per 1M input tokens (at the higher end, median: $0.25) and $1.32 per 1M output tokens (somewhat higher than average, median: $0.91), based on DeepSeek's API.\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) costs $0.44 per 1M input tokens and $1.32 per 1M output tokens (based on DeepSeek's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.23 per 1M tokens. Pricing may vary by provider. [Compare provider pricing](/models/deepseek-v4-flash-vision/providers)\n\nWhen evaluated on the Intelligence Index, DeepSeek V4 Flash Vision (Reasoning, Max Effort) generated 130M output tokens, which is at the higher end compared to other reasoning models in a similar price tier (median: 61M).\n\nYes, DeepSeek V4 Flash Vision (Reasoning, Max Effort) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) supports text and image input.\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) supports text output.\n\nYes, DeepSeek V4 Flash Vision (Reasoning, Max Effort) supports image input and can analyze, describe, and answer questions about images.\n\nYes, DeepSeek V4 Flash Vision (Reasoning, Max Effort) is multimodal. It can process text and image input and generate text output.\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) 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, DeepSeek V4 Flash Vision (Reasoning, Max Effort) is proprietary. The model weights are not publicly available.\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) has 284 billion parameters.\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) achieves a score of 51 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.\n\nYes, DeepSeek V4 Flash Vision (Reasoning, Max Effort) is available via API through 1 provider. [Compare API providers](/models/deepseek-v4-flash-vision/providers)\n\nDeepSeek V4 Flash Vision (Reasoning, Max Effort) is available through 1 API provider. [Compare providers](/models/deepseek-v4-flash-vision/providers)", "url": "https://wpnews.pro/news/deepseek-v4-flash-vision-intelligence-performance-and-price-analysis", "canonical_source": "https://artificialanalysis.ai/models/deepseek-v4-flash-vision", "published_at": "2026-08-25 07:17:03+00:00", "updated_at": "2026-08-25 07:45:15.621991+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-products"], "entities": ["DeepSeek", "DeepSeek V4 Flash Vision (Reasoning, Max Effort)", "Artificial Analysis"], "alternates": {"html": "https://wpnews.pro/news/deepseek-v4-flash-vision-intelligence-performance-and-price-analysis", "markdown": "https://wpnews.pro/news/deepseek-v4-flash-vision-intelligence-performance-and-price-analysis.md", "text": "https://wpnews.pro/news/deepseek-v4-flash-vision-intelligence-performance-and-price-analysis.txt", "jsonld": "https://wpnews.pro/news/deepseek-v4-flash-vision-intelligence-performance-and-price-analysis.jsonld"}}