Claude Opus 5 vs Gemini 3.8 Flash: Pricing, Quality, Value, and Benchmarks | PickAIModel
PickAIModel.com - Compare Claude Opus 5 and Gemini 3.8 Flash
Claude Opus 5 vs Gemini 3.8 Flash: pricing, Quality, Value, and benchmarks
Side-by-side buyer comparison built from the current published top 10 snapshot. Quality and Value stay deterministic, while editorial verdict excerpts remain clearly AI-labeled.
Provisional evidenceProvisional evidence
Claude Opus 5 Quality
100.0
Gemini 3.8 Flash Quality
74.9
Quality delta
+25.1Claude Opus 5 leads
Value delta
-47.9Gemini 3.8 Flash leads
Buyer summary
Claude Opus 5 leads Quality by 25.1 points. Gemini 3.8 Flash leads Value by 47.9 points.
Shared roster
Both pages link back to the same published roster and methodology, so the comparison stays on one deterministic evidence set.
Quality rank 2 and value rank 4 in the current published roster.
Gemini 3.8 Flash
Q 74.9
V 76.9
Quality rank 4 and value rank 1 in the current published roster.
Buyer access
Pricing, app access, and Conversation Value
Claude Opus 5
Verified vendor fact3K tokens/chat
Claude Pro: $20/month
~392 chats
Hosted app: Claude
Gemini 3.8 Flash
Benchmark evidence
Claude Opus 5
Verified evidence
Humanity's Last Exam
Normalized quality input
52.6%
Artificial Analysis Claude Opus 5 evaluation | Independent text-only HLE evaluation using adaptive reasoning at maximum effort over the 2,158-question set.
SWE-Bench Pro
Normalized quality input
79.2%
Anthropic Claude Opus 5 system card | Vendor-reported SWE-Bench Pro result using adaptive thinking at maximum effort, default sampling settings, averaged over five trials.
Terminal-Bench 2.1
Agentic terminal task completion
89.0%
Artificial Analysis Claude Opus 5 analysis | Independent Terminal-Bench 2.1 result for Claude Opus 5 at maximum effort.
GPQA Diamond
Normalized quality input
93.2%
Editorial excerpt
Claude Opus 5
AI-assisted, editorially reviewed
Anthropic's Opus successor pairs frontier reasoning and coding results with premium $5/$25 token pricing.
Claude Opus 5 combines a 1M-token context window with strong exact-variant HLE and SWE-Bench Pro results. Its $5 per million input-token and $25 per million output-token prices keep it in the premium tier, so it is best reserved for work where capability matters more than unit cost.
Editorial excerpt
Gemini 3.8 Flash
AI-assisted, editorially reviewed
Google's newest generally available Flash model improves coding and agentic work while retaining introductory $0.75/$3.75 token pricing through 2026.
Gemini 3.8 Flash combines a 1M-token context window with current HLE and SWE-Bench Pro evidence, multimodal input, and unusually low introductory token prices. Google positions it for software engineering and agentic workflows; the standard $1.50/$7.50 prices begin January 1, 2027.
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Move from the head-to-head page back into the full roster.
Google's newest generally available Flash model improves coding and agentic work while retaining introductory $0.75/$3.75 token pricing through 2026.
Monthly price
Google AI Pro: $5/month
App access
Gemini
Conversation benchmark
Unlimited chats
Verified vendor fact
Consumer plan pricing is grounded in the current official vendor plan page.
Verified vendor fact
Hosted app availability is grounded in the current official vendor surface.
Verified vendor fact
3K tokens/chat
Google AI Pro: $5/month
Unlimited chats
Hosted app: Gemini
Artificial Analysis Claude Opus 5 evaluation | Supplementary GPQA evidence is optional and is not a scored PickAI input.
Benchmark evidence
Gemini 3.8 Flash
Verified evidence
Humanity's Last Exam
Normalized quality input
47.8%
Artificial Analysis Gemini 3.8 Flash evaluation | Independent HLE result using the high reasoning configuration on the original HLE evaluation.
SWE-Bench Pro
Normalized quality input
61.6%
Google DeepMind Gemini 3.8 Flash evaluation methodology | Vendor-reported SWE-Bench Pro result for model ID gemini-3.8-flash with the documented evaluation configuration.
Terminal-Bench 2.1
Agentic terminal task completion
90.8%
Google Gemini 3.8 Flash developer guide | Vendor-reported Terminal-Bench 2.1 result; supplementary and not a PickAI score input.