OpenAI o4-mini vs Groq Mixtral 8x7B
Performance benchmarks + pricing comparison — updated April 2026
OpenAI o4-mini
OpenAIUpdated mini reasoning model. Similar pricing to o3-mini with updated capabilities.
| Input | $1.10/M |
| Output | $4.40/M |
| Context | 200K tokens |
| Best For | General reasoning, coding tasks |
| Benchmark | 72/100 |
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 o4-mini | Groq Mixtral 8x7B | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.17 | $0.02 | Groq Mixtral 8x7B saves $0.15 (91%) |
| Medium Feature (10K lines) | $1.27 | $0.13 | Groq Mixtral 8x7B saves $1.13 (90%) |
| Large Project (50K lines) | $6.33 | $0.66 | Groq Mixtral 8x7B saves $5.67 (90%) |
| Code Review (5K lines) | $0.30 | $0.05 | Groq Mixtral 8x7B saves $0.25 (84%) |
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 Haiku
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Claude 3 Opus
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Claude 3 Sonnet
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