Model comparison
Mistral 8x7B v0.2 vs o3
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mistral 8x7B v0.2 #178 (Estimated); o3 #131 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral 8x7B v0.2 and o3 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Mistral 8x7B v0.2; 16 to o3.
Updated July 22, 2026- Shared results
- 0
- Mistral 8x7B v0.2 only
- 0
- o3 only
- 16
- Comparable categories
- 0 / 8
Benchmark data for Mistral 8x7B v0.2 and o3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Mistral 8x7B v0.2 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
o3 is priced at $2.00 input / $8.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Mistral 8x7B v0.2. o3 has the larger context window at 200K, compared with 32K for Mistral 8x7B v0.2.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral 8x7B v0.2 | o3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral 8x7B v0.2$0 input / $0 output | o3$2 input / $8 output | Mistral 8x7B v0.2 has the lower combined listed price. |
| Generation speedtokens per second | Mistral 8x7B v0.2Not available | o3118 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral 8x7B v0.2Not available | o35.38 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral 8x7B v0.232K | o3200K | o3 lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Mistral 8x7B v0.2 | o3 | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 80.7% | Not comparable |
Coding1 benchmarks
| Benchmark | Mistral 8x7B v0.2 | o3 | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 41.0% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Mistral 8x7B v0.2 | o3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 30.4% | Not comparable |
| AA-GPQA DiamondSource | — | 82.7% | Not comparable |
| AA-HLESource | — | 20.0% | Not comparable |
| AA-Omniscience IndexSource | — | -15.3% | Not comparable |
| AA-Omniscience AccuracySource | — | 38.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 87.1% | Not comparable |
Math3 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Mistral 8x7B v0.2 | o3 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 71.4% | Not comparable |
Frequently Asked Questions (3)
Can I compare Mistral 8x7B v0.2 and o3 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Mistral 8x7B v0.2 and o3 today?
Mistral 8x7B v0.2: $0.00 input / $0.00 output per 1M tokens o3: $2.00 input / $8.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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