mercury-coder-small
vercel_ai_gateway · chat model
mercury-coder-small is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.2500 / 1M tokens
Output
$1.0000 / 1M tokens
Cached input
N/A
Context
16.4K
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 | $0.2500 / 1M tokens |
| Output | $1.0000 / 1M tokens |
| Embedding | $0.2500 / 1M tokens |
Token limits
Context window
16.4K
Max input tokens
32.0K
Max output tokens
16.4K
Max tokens
16.4K
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 | — |
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 |
|---|---|---|---|---|---|
| mercury-coder-small vercel_ai_gateway | In $0.2500 / 1M tokens Out $1.0000 / 1M tokens | text
Output: text | No public capabilities | 16.4K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| ernie-4.5-300b-a47b-paddle novita | In $0.2800 / 1M tokens Out $1.1000 / 1M tokens | text
Output: text | Low overlap | 12.0K | Text covered Overall 69% |
| qwen-3-235b vercel_ai_gateway | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Same provider Overall 69% |
| deepseek-v3-turbo novita | In $0.4000 / 1M tokens Out $1.3000 / 1M tokens | text
Output: text | Low overlap | 16.0K | Text covered Overall 69% |
| qwen3-235b-a22b-fp8 novita | In $0.2000 / 1M tokens Out $0.8000 / 1M tokens | text
Output: text | Low overlap | 20.0K | Text covered Overall 68% |
| code-llama-34b fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Text covered Overall 67% |
| code-llama-34b-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Text covered Overall 67% |
| morph-v3-fast vercel_ai_gateway | In $0.8000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Same provider Overall 67% |
| deepseek-v3.1-terminus novita | In $0.2700 / 1M tokens Out $1.0000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Text covered Overall 67% |
| deepseek-v3.1 novita | In $0.2700 / 1M tokens Out $1.0000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Text covered Overall 67% |
| kimi-k2 vercel_ai_gateway | In $0.5500 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Same provider Overall 64% |
| morph-v3-large vercel_ai_gateway | In $0.9000 / 1M tokens Out $1.9000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Same provider Overall 63% |
| qwen-3-30b vercel_ai_gateway | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Same provider Overall 62% |
| qwen-3-32b vercel_ai_gateway | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Same provider Overall 62% |
| DeepSeek-V3.1 deepinfra | In $0.2700 / 1M tokens Out $1.0000 / 1M tokens | text
Output: text | Low overlap | 163.8K | Text covered Overall 61% |
| DeepSeek-V3.1-Terminus deepinfra | In $0.2700 / 1M tokens Out $1.0000 / 1M tokens | text
Output: text | Low overlap | 163.8K | Text covered Overall 61% |
| minimax-m2 OpenRouter | In $0.2550 / 1M tokens Out $1.0200 / 1M tokens | text
Output: text | Low overlap | 204.8K | Text covered Overall 61% |
| ai21.jamba-instruct-v1:0 Bedrock | In $0.5000 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Low overlap | 4.1K | Text covered Overall 56% |
| ai21.jamba-1-5-mini-v1:0 Bedrock | In $0.2000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Text covered Overall 53% |
| amazon.nova-micro-v1:0 bedrock_converse | In $0.0350 / 1M tokens Out $0.1400 / 1M tokens | text
Output: text | Low overlap | 10.0K | Text covered Overall 52% |
| qwen3-omni-30b-a3b-thinking novita | In $0.2500 / 1M tokens Out $0.9700 / 1M tokens | text audioimage
Output: audio, text | Low overlap | 16.4K | Text covered Overall 49% |
| qwen3-omni-30b-a3b-instruct novita | In $0.2500 / 1M tokens Out $0.9700 / 1M tokens | text audioimage
Output: audio, text | Low overlap | 16.4K | Text covered Overall 49% |
| ai21.j2-mid-v1 Bedrock | In $12.5000 / 1M tokens Out $12.5000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Text covered Overall 49% |
| ai21.j2-ultra-v1 Bedrock | In $18.8000 / 1M tokens Out $18.8000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Text covered Overall 48% |
| ai21.jamba-1-5-large-v1:0 Bedrock | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Text covered Overall 43% |
| qwen3-235b-a22b-instruct-2507-maas vertex_ai-qwen_models | In $0.2500 / 1M tokens Out $1.0000 / 1M tokens | text
Output: unknown | Low overlap | 16.4K | Partial I/O overlap Overall 35% Missing text |
No models match this filter.