claude-opus-4
gmi · chat model
claude-opus-4 is listed here as a chat model from gmi. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$15.0000 / 1M tokens
Output
$75.0000 / 1M tokens
Cached input
N/A
Context
32.0K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $15.0000 / 1M tokens |
| Output | $75.0000 / 1M tokens |
| Embedding | $15.0000 / 1M tokens |
Token limits
Context window
32.0K
Max input tokens
409.6K
Max output tokens
32.0K
Max tokens
32.0K
Capabilities
| Capability | Supported |
|---|---|
| Vision | ✅ |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | — |
| Prompt caching | — |
| Reasoning | — |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| SWE-bench Verified | 72.5% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| Terminal-Bench | 43.2% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| GPQA Diamond | 74.9% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| MMMLU | 87.4% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| MMMU | 73.7% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-opus-4 gmi | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-opus-4-1 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Partial I/O overlap Overall 52% |
| claude-opus-4-1@20250805 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimage
Output: text | VisionFunction calling | 32.0K | Partial I/O overlap Overall 52% |
| claude-4-opus vercel_ai_gateway | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction calling | 32.0K | Partial I/O overlap Overall 48% |
| claude-opus-4.5 gmi | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Same provider Overall 47% |
| claude-sonnet-4.5 gmi | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Same provider Overall 44% |
| claude-sonnet-4 gmi | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Same provider Overall 44% |
| anthropic.claude-opus-4-1-20250805-v1:0 bedrock_converse | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagepdf
Output: text | VisionFunction calling | 32.0K | Partial I/O overlap Overall 41% |
| anthropic.claude-opus-4-20250514-v1:0 bedrock_converse | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagepdf
Output: text | VisionFunction calling | 32.0K | Partial I/O overlap Overall 41% |
| claude-opus-4-1 azure_ai | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagepdf
Output: text | VisionFunction calling | 32.0K | Partial I/O overlap Overall 41% |
| claude-4-opus-20250514 Anthropic | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagepdf
Output: text | VisionFunction calling | 32.0K | Partial I/O overlap Overall 41% |
| gpt-4o gmi | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 16.4K | Same provider Overall 36% |
| gemini-3-pro-preview gmi | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 65.5K | Same provider Overall 35% |
| anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction calling | 4.1K | Partial I/O overlap Overall 34% |
| gemini-3-flash-preview gmi | In $0.5000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 65.5K | Same provider Overall 33% |
| gpt-4o-mini gmi | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | VisionFunction calling | 16.4K | Same provider Overall 33% |
| claude-3-opus-20240229 Anthropic | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction calling | 4.1K | Partial I/O overlap Overall 32% |
| meta.llama3-2-90b-instruct-v1:0 Bedrock | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | VisionFunction calling | 4.1K | Partial I/O overlap Overall 28% |
No models match this filter.