Qwen2.5-Coder-7B
nebius · chat model
Qwen2.5-Coder-7B is listed here as a chat model from nebius. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.0100 / 1M tokens
Output
$0.0300 / 1M tokens
Cached input
N/A
Context
32.8K
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 | $0.0100 / 1M tokens |
| Output | $0.0300 / 1M tokens |
| Embedding | $0.0100 / 1M tokens |
Token limits
Context window
32.8K
Max input tokens
32.8K
Max output tokens
32.8K
Max tokens
32.8K
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 |
|---|---|---|---|---|---|
| MMLU | 74.2% | accuracy | Base model: Qwen2.5 (Qwen2.5-7B-Instruct) | 2026-05-31 | Link |
| MMLU | 83.3% | accuracy | Base model: Qwen2.5 (Qwen2.5-32B-Instruct) | 2026-05-31 | Link |
| MATH | 49.8% | accuracy | Base model: Qwen2.5 (Qwen2.5-7B-Instruct) | 2026-05-31 | Link |
| MATH | 57.7% | accuracy | Base model: Qwen2.5 (Qwen2.5-32B-Instruct) | 2026-05-31 | Link |
| HumanEval | 57.9% | pass@1 | Base model: Qwen2.5 (Qwen2.5-7B-Instruct) | 2026-05-31 | Link |
| HumanEval | 58.5% | pass@1 | Base model: Qwen2.5 (Qwen2.5-32B-Instruct) | 2026-05-31 | Link |
| Artificial Analysis Coding Index | 11.9 | score | Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) | 2026-05-31 | Link |
| GPQA Diamond | 49.1% | accuracy | Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) | 2026-05-31 | Link |
| Humanity's Last Exam | 4.2% | accuracy | Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) | 2026-05-31 | Link |
| IFBench | 36.9% | accuracy | Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) | 2026-05-31 | Link |
| SciCode | 26.7% | accuracy | Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) | 2026-05-31 | Link |
| Aider Polyglot | 16.4% | percent correct | Base model: Qwen2.5-Coder (Qwen2.5-Coder-32B-Instruct) | 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 |
|---|---|---|---|---|---|
| Qwen2.5-Coder-7B nebius | In $0.0100 / 1M tokens Out $0.0300 / 1M tokens |
Output: unknown | Function calling | 32.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| Qwen3-14B nebius | In $0.0800 / 1M tokens Out $0.2400 / 1M tokens |
Output: unknown | Function calling | 32.8K | Same provider Overall 43% |
| Qwen3-4B nebius | In $0.0800 / 1M tokens Out $0.2400 / 1M tokens |
Output: unknown | Function calling | 32.8K | Same provider Overall 43% |
| Qwen3-32B nebius | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function calling | 32.8K | Same provider Overall 42% |
| Qwen3-30B-A3B nebius | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function calling | 32.8K | Same provider Overall 42% |
| mistral-7B-Instruct-v0.2 ollama | In N/A Out N/A |
Output: unknown | Function calling | 32.8K | Partial I/O overlap Overall 40% |
| mixtral-8x7B-Instruct-v0.1 ollama | In N/A Out N/A |
Output: unknown | Function calling | 32.8K | Partial I/O overlap Overall 40% |
| mistral-large-2402 Azure | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Partial I/O overlap Overall 40% |
| mistral-large-latest Azure | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Partial I/O overlap Overall 40% |
| Meta-Llama-3.1-8B-Instruct nebius | In $0.0200 / 1M tokens Out $0.0600 / 1M tokens |
Output: unknown | Function calling | 128.0K | Same provider Overall 39% |
| Mistral-7B-Instruct-v0.1 anyscale | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function calling | 16.4K | Partial I/O overlap Overall 35% |
| Mixtral-8x7B-Instruct-v0.1 anyscale | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function calling | 16.4K | Partial I/O overlap Overall 35% |
| Mistral-Nemo-Instruct-2407 nebius | In $0.0400 / 1M tokens Out $0.1200 / 1M tokens |
Output: unknown | Function calling | 128.0K | Same provider Overall 34% |
| Mixtral-8x22B-Instruct-v0.1 anyscale | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens |
Output: unknown | Function calling | 65.5K | Partial I/O overlap Overall 33% |
| Qwen2.5-32B-Instruct nebius | In $0.0600 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Function calling | 128.0K | Same provider Overall 32% |
| Meta-Llama-3.1-8B-Instruct-Turbo deepinfra | In $0.0200 / 1M tokens Out $0.0300 / 1M tokens | text
Output: text | Function calling | 131.1K | Partial I/O overlap Overall 32% |
| meta.llama3-2-1b-instruct-v1:0 Bedrock | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Function calling | 4.1K | Partial I/O overlap Overall 31% |
| us.meta.llama3-2-1b-instruct-v1:0 Bedrock | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Function calling | 4.1K | Partial I/O overlap Overall 31% |
| eu.meta.llama3-2-1b-instruct-v1:0 Bedrock | In $0.1300 / 1M tokens Out $0.1300 / 1M tokens | text
Output: text | Function calling | 4.1K | Partial I/O overlap Overall 30% |
| Llama-3.2-3B-Instruct deepinfra | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | text
Output: text | Function calling | 131.1K | Partial I/O overlap Overall 28% |
| command-r-plus Azure | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | text
Output: text | Function calling | 4.1K | Partial I/O overlap Overall 27% |
| llama3.2-3b-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens |
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 25% |
| llama3.2-11b-vision-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens |
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 24% |
| Qwen2.5-Coder-3B-Instruct nscale | In $0.0100 / 1M tokens Out $0.0300 / 1M tokens |
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 20% |
| Qwen2.5-Coder-7B-Instruct nscale | In $0.0100 / 1M tokens Out $0.0300 / 1M tokens |
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 20% |
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