codellama-7b
llamagate · chat model
codellama-7b is listed here as a chat model from llamagate. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.0600 / 1M tokens
Output
$0.1200 / 1M tokens
Cached input
N/A
Context
4.1K
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 | $0.0600 / 1M tokens |
| Output | $0.1200 / 1M tokens |
| Embedding | $0.0600 / 1M tokens |
Token limits
Context window
4.1K
Max input tokens
16.4K
Max output tokens
4.1K
Max tokens
4.1K
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
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 |
|---|---|---|---|---|---|
| codellama-7b llamagate | In $0.0600 / 1M tokens Out $0.1200 / 1M tokens |
Output: unknown | Function callingResponse schema | 4.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| deepseek-coder-6.7b llamagate | In $0.0600 / 1M tokens Out $0.1200 / 1M tokens |
Output: unknown | Function callingResponse schema | 4.1K | Same provider Overall 60% |
| qwen2.5-coder-7b llamagate | In $0.0600 / 1M tokens Out $0.1200 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 53% |
| dolphin3-8b llamagate | In $0.0800 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 48% |
| qwen3-8b llamagate | In $0.0400 / 1M tokens Out $0.1400 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 48% |
| nova-micro vercel_ai_gateway | In $0.0350 / 1M tokens Out $0.1400 / 1M tokens | text
Output: text | Function callingResponse schema | 8.2K | Partial I/O overlap Overall 47% |
| mistral-7b-v0.3 llamagate | In $0.1000 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 47% |
| llama-3.2-3b llamagate | In $0.0400 / 1M tokens Out $0.0800 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 46% |
| llama-3.2-3b vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | text
Output: text | Function callingResponse schema | 8.2K | Partial I/O overlap Overall 45% |
| llama-3.1-8b llamagate | In $0.0300 / 1M tokens Out $0.0500 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 42% |
| llama-3.1-8b vercel_ai_gateway | In $0.0500 / 1M tokens Out $0.0800 / 1M tokens | text
Output: text | Function callingResponse schema | 131.1K | Partial I/O overlap Overall 40% |
| Mistral-Nemo-Instruct-2407 nebius | In $0.0400 / 1M tokens Out $0.1200 / 1M tokens |
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 30% |
| llama-4-maverick-17b-128e-instruct-fp8 lambda_ai | In $0.0500 / 1M tokens Out $0.1000 / 1M tokens |
Output: unknown | Function calling | 8.2K | Partial I/O overlap Overall 29% |
| llama-4-scout-17b-16e-instruct lambda_ai | In $0.0500 / 1M tokens Out $0.1000 / 1M tokens |
Output: unknown | Function calling | 8.2K | Partial I/O overlap Overall 29% |
| gemma-3-12b-it deepinfra | In $0.0500 / 1M tokens Out $0.1000 / 1M tokens | imagetext
Output: text | Function calling | 131.1K | Partial I/O overlap Overall 25% |
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