DeepSeek leads this public snapshot; test the route before deciding.
DeepSeek V4 Pro 0813 open is listed at 77.4 Overall on LiveBench-2026-06-25, compared with 69.2 for the ox-alpha-max label. DeepSeek also scores higher in the listed reasoning, coding, agentic coding, mathematics, data analysis, language, and instruction-following categories. That is a useful shortlist signal, not a universal ranking of every API route or application.
One product, several public identifiers; two benchmark records.
On this site, ox-alpha-max, stealth/ox-alpha, and ox-alpha refer to the same Ox Alpha product under different public naming contexts. The LiveBench row is named ox-alpha-max; the Tokenra API reference uses stealth/ox-alpha.
The product naming is normalized for readability, while the evidence remains scoped: the leaderboard shows a label and a release snapshot. It does not publish every provider, request setting, model revision, or raw artifact needed to call the row a reproduced Tokenra API run.
| Dimension | Ox Alpha | DeepSeek |
|---|---|---|
| Leaderboard label | ox-alpha-max | DeepSeek V4 Pro 0813 open |
| Documented API context | Tokenra Chat Completions route | Verify current DeepSeek API documentation |
| Benchmark identity | Public label-level observation | Public label-level observation |
| Commercial price | Check Tokenra live terms | Check DeepSeek live pricing |
DeepSeek V4 Pro scores higher across the displayed categories.
The following values are transcribed from the LiveBench public leaderboard, release LiveBench-2026-06-25, reviewed 24 August 2026.
| Metric | Ox Alpha / ox-alpha-max | DeepSeek V4 Pro 0813 open |
|---|---|---|
| Overall | 69.2 | 77.4 |
| Reasoning | 76.6 | 85.8 |
| Coding | 75.8 | 77.2 |
| Agentic Coding | 52.6 | 54.9 |
| Mathematics | 77.5 | 95.1 |
| Data Analysis | 75.8 | 79.2 |
| Language | 66.1 | 82.1 |
| Instruction Following | 60.3 | 67.7 |
| Cost per successful task | $0.000 | $0.044 |
Important: “Cost per successful task” is LiveBench’s benchmark field. It is not an input/output token price, provider invoice, subscription price, or free-access promise. See the benchmark methodology for the evidence standard.
A leaderboard difference narrows a test; it does not replace one.
The largest displayed gap is in mathematics, while the coding scores are closer. That pattern can help prioritize experiments, but it does not tell you how either model will handle your repository, tool schemas, private terminology, output format, timeout policy, or review process.
For a fair application test, keep the prompt set, context selection, token budget, tools, retries, and scoring rubric fixed. Record provider route, date, model identifier, latency, failures, and actual billing separately from the LiveBench table.
When should you choose each model?
| If you prioritize | Start with | Why |
|---|---|---|
| Published benchmark score | DeepSeek V4 Pro | It has the higher Overall and category values in this snapshot. |
| Testing the documented Ox Alpha route | Ox Alpha | The Tokenra API reference provides the integration boundary to validate. |
| Production coding reliability | Run both | Your own repository, prompts, tools, and failure policy determine the result. |
| Commercial cost | Verify both providers | LiveBench cost/success is not API pricing. |
To start an actual Tokenra integration, use the Ox Alpha API reference and keep credentials server-side.
Ox Alpha vs DeepSeek V4 Pro questions.
Is Ox Alpha better than DeepSeek V4 Pro?
On the LiveBench-2026-06-25 snapshot, DeepSeek V4 Pro 0813 has the higher Overall score. The result is a leaderboard comparison, not a universal claim about every workflow or provider route.
Which model scores higher on LiveBench?
DeepSeek V4 Pro 0813 open is listed at 77.4 Overall, while ox-alpha-max is listed at 69.2 in the same LiveBench snapshot.
Is Ox Alpha free?
The $0.000 value displayed by LiveBench is a benchmark cost-per-successful-task field. It is not a Tokenra API price or a universal free-access guarantee.
Does the ox-alpha-max score verify the Tokenra Ox Alpha route?
No. The public leaderboard identifies the ox-alpha-max label and its snapshot values, but it does not independently publish a complete mapping to the Tokenra stealth/ox-alpha route.