OpenAI o3 vs Groq Mixtral 8x7B
Performance benchmarks + pricing comparison — updated April 2026
OpenAI o3
OpenAINext generation reasoning model. Improved coding and math over o1.
| Input | $10.00/M |
| Output | $40.00/M |
| Context | 200K tokens |
| Best For | Advanced coding, complex problem-solving |
| Benchmark | 85/100 |
Groq Mixtral 8x7B
GroqMixtral MoE on Groq's LPU. Fast, cost-effective inference for general tasks.
| Input | $0.240/M |
| Output | $0.240/M |
| Context | 32K tokens |
| Best For | High-throughput text generation, chat, fast responses |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | OpenAI o3 | Groq Mixtral 8x7B | Savings |
|---|---|---|---|
| Small Script (1K lines) | $1.55 | $0.02 | Groq Mixtral 8x7B saves $1.53 (99%) |
| Medium Feature (10K lines) | $11.50 | $0.13 | Groq Mixtral 8x7B saves $11.37 (99%) |
| Large Project (50K lines) | $57.50 | $0.66 | Groq Mixtral 8x7B saves $56.84 (99%) |
| Code Review (5K lines) | $2.75 | $0.05 | Groq Mixtral 8x7B saves $2.70 (98%) |
Verdict
Groq Mixtral 8x7B wins on both price and performance — $0.240/M input with a benchmark score of N/A/100.
For most developers, this is the clear choice between these two models.
Compare with Other Models
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Claude 3.5 Sonnet
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Claude 3.5 Haiku
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Claude 3 Opus
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Claude 3 Sonnet
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