Claude Opus 4.5 vs Gemma 4 26B A4B IT
Claude Opus 4.5 (2025) and Gemma 4 26B A4B IT (2026) are frontier reasoning models from Anthropic and Google DeepMind. Claude Opus 4.5 ships a 200K-token context window, while Gemma 4 26B A4B IT ships a 256k-token context window. On pricing, Gemma 4 26B A4B IT costs $0.06/1M input tokens versus $5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Gemma 4 26B A4B IT is ~8233% cheaper at $0.06/1M; pay for Claude Opus 4.5 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Claude Opus 4.5 | Gemma 4 26B A4B IT |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 200K | 256k |
| Cheapest output | $25/1M tokens | $0.33/1M tokens |
| Provider routes | 5 tracked | 4 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Claude Opus 4.5 has broader tracked provider coverage for fallback and procurement flexibility.
- Claude Opus 4.5 uniquely exposes Vision, Reasoning, and Tool use in local model data.
- Local decision data tags Claude Opus 4.5 for Coding, RAG, and Agents.
- Gemma 4 26B A4B IT has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemma 4 26B A4B IT has the lower cheapest tracked output price at $0.33/1M tokens.
- Local decision data tags Gemma 4 26B A4B IT for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Claude Opus 4.5
$10,250
Cheapest tracked route: Microsoft Foundry
Gemma 4 26B A4B IT
$131
Cheapest tracked route: OpenRouter
Estimated monthly gap: $10,120. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on GCP Vertex AI and OpenRouter; start route-level A/B tests there.
- Gemma 4 26B A4B IT is $24.67/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Reasoning, and Tool use before moving production traffic.
- Provider overlap exists on GCP Vertex AI and OpenRouter; start route-level A/B tests there.
- Claude Opus 4.5 is $24.67/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Claude Opus 4.5 adds Vision, Reasoning, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-01 | 2026-03-31 |
| Context window | 200K | 256k |
| Parameters | — | 26B |
| Architecture | decoder only | - |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2025-12 | 2025-01 |
Pricing and availability
| Pricing attribute | Claude Opus 4.5 | Gemma 4 26B A4B IT |
|---|---|---|
| Input price | $5/1M tokens | $0.06/1M tokens |
| Output price | $25/1M tokens | $0.33/1M tokens |
| Providers |
Capabilities
| Capability | Claude Opus 4.5 | Gemma 4 26B A4B IT |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | Yes |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Claude Opus 4.5, reasoning mode: Claude Opus 4.5, tool use: Claude Opus 4.5, and code execution: Claude Opus 4.5. Both models share multimodal input, function calling, and structured outputs, 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.
For cost, Claude Opus 4.5 lists $5/1M input and $25/1M output tokens, while Gemma 4 26B A4B IT lists $0.06/1M input and $0.33/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 4 26B A4B IT lower by about $10.86 per million blended tokens. Availability is 5 providers versus 4, so concentration risk also matters.
Choose Claude Opus 4.5 when coding workflow support and broader provider choice are central to the workload. Choose Gemma 4 26B A4B IT when long-context analysis, larger context windows, and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Claude Opus 4.5 or Gemma 4 26B A4B IT?
Gemma 4 26B A4B IT supports 256k tokens, while Claude Opus 4.5 supports 200K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Claude Opus 4.5 or Gemma 4 26B A4B IT?
Gemma 4 26B A4B IT is cheaper on tracked token pricing. Claude Opus 4.5 costs $5/1M input and $25/1M output tokens. Gemma 4 26B A4B IT costs $0.06/1M input and $0.33/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude Opus 4.5 or Gemma 4 26B A4B IT open source?
Claude Opus 4.5 is listed under Proprietary. Gemma 4 26B A4B IT is listed under Open Source. 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 26B A4B IT?
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 26B A4B IT?
Both Claude Opus 4.5 and Gemma 4 26B A4B IT expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Claude Opus 4.5 and Gemma 4 26B A4B IT?
Claude Opus 4.5 is available on Microsoft Foundry, Anthropic, GCP Vertex AI, AWS Bedrock, and OpenRouter. Gemma 4 26B A4B IT is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.