claude-3-7-sonnet-latest
deepinfra · chat model
claude-3-7-sonnet-latest is listed here as a chat model from deepinfra. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$3.3000 / 1M tokens
Output
$16.5000 / 1M tokens
Cached input
$0.3300 / 1M tokens
Context
200.0K
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 | $3.3000 / 1M tokens |
| Output | $16.5000 / 1M tokens |
| Cached input | $0.3300 / 1M tokens |
| Embedding | $3.3000 / 1M tokens |
Token limits
Context window
200.0K
Max input tokens
200.0K
Max output tokens
200.0K
Max tokens
200.0K
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 | 70.3% | score | Base model: Claude 3.7 Sonnet (Claude 3.7 Sonnet) | 2026-05-31 | Link |
| SWE-bench Verified | 63.7% | score | Base model: Claude 3.7 Sonnet (Claude 3.7 Sonnet) | 2026-05-31 | Link |
| Aider Polyglot | 60.4% | score | Base model: Claude 3.7 Sonnet (claude-3-7-sonnet-20250219 (no thinking)) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
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-3-7-sonnet-latest deepinfra | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 200.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-4-sonnet deepinfra | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 200.0K | Same provider Overall 100% |
| grok-4 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 256.0K | Text + image covered Overall 95% |
| grok-3 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 131.1K | Text + image covered Overall 93% |
| claude-4-opus deepinfra | In $16.5000 / 1M tokens Out $82.5000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 200.0K | Same provider Overall 84% |
| grok-4 xai | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 256.0K | Text + image covered Overall 82% |
| grok-4-0709 xai | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 256.0K | Text + image covered Overall 82% |
| claude-4-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext file
Output: text | Function callingTool choice | 64.0K | Text + image covered Overall 80% |
| gemma-3-27b-it deepinfra | In $0.0900 / 1M tokens Out $0.1600 / 1M tokens | imagetext
Output: text | Function callingTool choice | 131.1K | Same provider Overall 75% |
| gemma-3-12b-it deepinfra | In $0.0500 / 1M tokens Out $0.1000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 131.1K | Same provider Overall 75% |
| gemma-3-4b-it deepinfra | In $0.0400 / 1M tokens Out $0.0800 / 1M tokens | imagetext
Output: text | Function callingTool choice | 131.1K | Same provider Overall 75% |
| Mistral-Small-3.2-24B-Instruct-2506 deepinfra | In $0.0750 / 1M tokens Out $0.2000 / 1M tokens | imagetext
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| mistral-large vercel_ai_gateway | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
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| us.anthropic.claude-sonnet-4-6 bedrock_converse | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | imagetext pdf
Output: text | Function callingTool choice | 64.0K | Text + image covered Overall 71% |
| eu.anthropic.claude-sonnet-4-6 bedrock_converse | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | imagetext pdf
Output: text | Function callingTool choice | 64.0K | Text + image covered Overall 71% |
| au.anthropic.claude-sonnet-4-6 bedrock_converse | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | imagetext pdf
Output: text | Function callingTool choice | 64.0K | Text + image covered Overall 71% |
| jp.anthropic.claude-sonnet-4-6 bedrock_converse | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | imagetext pdf
Output: text | Function callingTool choice | 64.0K | Text + image covered Overall 71% |
| au.anthropic.claude-sonnet-4-5-20250929-v1:0 bedrock_converse | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | imagetext pdf
Output: text | Function callingTool choice | 64.0K | Text + image covered Overall 71% |
| gpt-4 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.1K | Text + image covered Overall 69% |
| mistral-medium-2505 azure_ai | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 8.2K | Text + image covered Overall 68% |
| anthropic.claude-sonnet-4-5-20250929-v1:0 Bedrock | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | imagetext pdf
Output: text | Function callingTool choice | 8.2K | Text + image covered Overall 67% |
| gemini-2.5-pro deepinfra | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagetext audiocode
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