Claude Opus 4.5 vs Gemma 4 E2B
Claude Opus 4.5 (2025) and Gemma 4 E2B (2026) are frontier reasoning models from Anthropic and Google DeepMind. Claude Opus 4.5 ships a 200K-token context window, while Gemma 4 E2B ships a 128K-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Gemma 4 E2B is safer overall; choose Claude Opus 4.5 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Claude Opus 4.5 | Gemma 4 E2B |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 200K | 128K |
| Cheapest output | $25/1M tokens | - |
| Provider routes | 6 tracked | 2 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Claude Opus 4.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Claude Opus 4.5 has broader tracked provider coverage for fallback and route flexibility.
- Claude Opus 4.5 uniquely exposes Vision, Reasoning, and Structured outputs in local model data.
- Local decision data tags Claude Opus 4.5 for Coding, RAG, and Agents.
- Local decision data tags Gemma 4 E2B for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Claude Opus 4.5
$10,250
Cheapest tracked route/tier: Microsoft Foundry
Gemma 4 E2B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Provider overlap exists on GCP Vertex AI and AWS Bedrock; start route-level A/B tests there.
- Check replacement coverage for Vision, Reasoning, and Structured outputs before moving production traffic.
- Provider overlap exists on GCP Vertex AI and AWS Bedrock; start route-level A/B tests there.
- Claude Opus 4.5 adds Vision, Reasoning, and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-01 | 2026-03-31 |
| Context window | 200K | 128K |
| Parameters | — | 5.1B (2.3B effective) |
| Architecture | Decoder Only | - |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Permitted |
| Knowledge cutoff | 2025-12 | 2025-01 |
Pricing and availability
| Pricing attribute | Claude Opus 4.5 | Gemma 4 E2B |
|---|---|---|
| Input price | $5/1M tokens | - |
| Output price | $25/1M tokens | - |
| Providers |
Capabilities
| Capability | Claude Opus 4.5 | Gemma 4 E2B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Claude Opus 4.5, reasoning mode: Claude Opus 4.5, JSON / Tool use: Claude Opus 4.5, structured outputs: Claude Opus 4.5, and code execution: Claude Opus 4.5. Both models share multimodal input and JSON / Tool use, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Claude Opus 4.5 has $5/1M input tokens and Gemma 4 E2B has no token price listed. Provider availability is 6 listed routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Claude Opus 4.5 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Gemma 4 E2B when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Claude Opus 4.5 or Gemma 4 E2B?
Claude Opus 4.5 supports 200K tokens, while Gemma 4 E2B supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Claude Opus 4.5 or Gemma 4 E2B open source?
Claude Opus 4.5 is listed under Proprietary. Gemma 4 E2B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Claude Opus 4.5 or Gemma 4 E2B?
Claude Opus 4.5 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Claude Opus 4.5 or Gemma 4 E2B?
Both Claude Opus 4.5 and Gemma 4 E2B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for reasoning mode, Claude Opus 4.5 or Gemma 4 E2B?
Claude Opus 4.5 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Claude Opus 4.5 and Gemma 4 E2B?
Claude Opus 4.5 is available on Microsoft Foundry, Anthropic, GCP Vertex AI, AWS Bedrock, and OpenRouter. Gemma 4 E2B is available on GCP Vertex AI and AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-10-17. Data sourced from public model cards and provider documentation.