Gemini 1.0 Pro vs Claude 4.8 Opus
Compare pricing, context windows, and strengths for Gemini 1.0 Pro by Google and Claude 4.8 Opus by Anthropic - and see how to put either to work in Appaca.
Gemini 1.0 Pro
A versatile multimodal model optimized for balanced performance across reasoning, language, and code tasks.
View Gemini 1.0 ProClaude 4.8 Opus
Anthropic's flagship model for coding and agents, building on Opus 4.7 with stronger reliability, a cheaper fast mode, and gains across coding, computer use, and professional work.
View Claude 4.8 OpusGemini 1.0 Pro vs Claude 4.8 Opus at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Gemini 1.0 Pro | Claude 4.8 Opus |
|---|---|---|
| Provider | Anthropic | |
| Model type | Text | Text |
| Context window | 128K tokens | 1M tokens |
| Input price | $0.5 / 1M tokens | $5 / 1M tokens |
| Output price | $1.5 / 1M tokens | $25 / 1M tokens |
| Status | Current | Current |
How Gemini 1.0 Pro and Claude 4.8 Opus differ
What the numbers mean in practice when choosing between Gemini 1.0 Pro and Claude 4.8 Opus.
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Gemini 1.0 Pro is 90% cheaper on input tokens ($0.5 vs $5 per million), which adds up quickly in document-heavy workloads.
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Gemini 1.0 Pro is 94% cheaper on output tokens ($1.5 vs $25 per million) - the bigger factor for tools that generate long documents.
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Claude 4.8 Opus's 1M tokens context window is roughly 7.8x larger than Gemini 1.0 Pro's 128K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
Gemini 1.0 Pro
1. Strong all-purpose performance
- Designed as Google's balanced middle-tier model.
- Handles a wide range of tasks: reasoning, writing, coding, and problem-solving.
2. Natively multimodal understanding
- Trained from the ground up on text, images, audio, and video.
- More consistent multimodal reasoning than stitched-together architectures.
3. Great cost-to-capability ratio
- Offers much of Gemini Ultra's reasoning quality at a fraction of the cost.
- Strong default choice for large-scale production workloads.
4. Reliable reasoning and factual performance
- Performs well on benchmarks like MMLU, MMMU, and code reasoning.
- Handles long-form analysis, multi-step reasoning, and structured problem solving.
5. Advanced coding capabilities
- Supports major languages such as Python, Java, C++, Go.
- Generates, edits, debugs, and explains code with high accuracy.
- Powers advanced coding systems like AlphaCode 2.
6. Efficient and scalable
- Optimized for Google TPUs for lower latency and faster inference.
- Suitable for batch workloads, agents, and complex multi-step pipelines.
7. Strong multimodal reasoning
- Understands math, physics, and scientific diagrams.
- Handles mixed data inputs (charts + text, screenshots + instructions, etc.).
8. Enterprise-ready reliability
- Available through Google AI Studio and Vertex AI.
- Benefits from enterprise-grade governance, safety, privacy, and compliance.
Claude 4.8 Opus
1. Modest but tangible gains across the board
- 69.2% on SWE-bench Pro (+4.9 points over Opus 4.7's 64.3%), 88.6% on SWE-bench Verified, and a 1,890 Elo on GDPval-AA - about 121 Elo ahead of GPT-5.5.
- Anthropic frames it as an incremental refinement of Opus 4.7 rather than a step-change release.
2. The most reliable agent model Anthropic has shipped
- The only model to complete every case end-to-end on Anthropic's internal Super-Agent benchmark, beating prior Opus models and GPT-5.5 at parity on cost.
- Leads CursorBench across every effort level with more efficient tool calling - fewer steps for the same intelligence.
- 84% on Online-Mind2Web and stronger OSWorld-Verified scores make it the strongest computer-use and browser-agent model Anthropic has tested.
3. New highs for professional and legal work
- Highest score ever recorded on Anthropic's Legal Agent Benchmark, and the first model to break 10% on its all-pass standard.
- Roughly a 4x improvement in honesty and calibrated uncertainty versus Opus 4.7 on Anthropic's evaluations.
4. Cheaper, faster controls
- Standard pricing holds at $5/M input and $25/M output, unchanged from Opus 4.7.
- Fast mode now runs at 2.5x speed for $10/M input and $50/M output - about a third of what fast mode cost on prior Opus releases.
- A new effort dial gives finer control over how hard the model works before answering.
5. Long-horizon agent workflows
- 1M token context window in beta and up to 128K output tokens.
- Introduces Dynamic Workflows (research preview) in Claude Code - Opus can write its own orchestration script and run up to 16 concurrent / 1,000 total subagents in a single session.
Use Gemini 1.0 Pro or Claude 4.8 Opus - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Gemini 1.0 Pro or Claude 4.8 Opus - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by Gemini 1.0 Pro or Claude 4.8 Opus. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Gemini 1.0 Pro, test the same tool on Claude 4.8 Opus, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by Gemini 1.0 Pro or Claude 4.8 Opus - connected to the tools you already use.
Related comparisons
See how Gemini 1.0 Pro and Claude 4.8 Opus stack up against other models in the directory.
FAQs
Gemini 1.0 Pro is generally cheaper: $0.5 input / $1.5 output per million tokens, versus $5 / $25 for Claude 4.8 Opus. Actual cost depends on how many tokens your workload reads and writes.
Claude 4.8 Opus has the larger context window at 1M tokens, compared to 128K tokens for Gemini 1.0 Pro. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on Gemini 1.0 Pro, test the same tool on Claude 4.8 Opus, and switch at any time without rebuilding anything.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by Gemini 1.0 Pro, Claude 4.8 Opus, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with Gemini 1.0 Pro or Claude 4.8 Opus
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.