Model comparison
Claude Opus 4.8 vs Mistral Small 4
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.8 #5 (Supported); Mistral Small 4 #140 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.8 and Mistral Small 4 share 15 comparable benchmark results. 0 of 8 categories are comparable. 38 results are unique to Claude Opus 4.8; 1 to Mistral Small 4.
Updated July 23, 2026- Shared results
- 15
- Claude Opus 4.8 only
- 38
- Mistral Small 4 only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.8 and Mistral Small 4 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Claude Opus 4.8 is priced at $5.00 input / $25.00 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for Mistral Small 4. Claude Opus 4.8 has the larger context window at 1M, compared with 256K for Mistral Small 4.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Opus 4.8 | Δ | Mistral Small 4 |
|---|---|---|---|
| Agentic | Claude Opus 4.880.3 | MarginNo overlap | Mistral Small 4Not measured |
| Coding | Claude Opus 4.881.1 | MarginNo overlap | Mistral Small 4Not measured |
| Knowledge | Claude Opus 4.862.7 | MarginNo overlap | Mistral Small 4Not measured |
| Math | Claude Opus 4.853.9 | MarginNo overlap | Mistral Small 4Not measured |
| Multimodal | Claude Opus 4.877.0 | MarginNo overlap | Mistral Small 4Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.8 | Mistral Small 4 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.8$5 input / $25 output | Mistral Small 4$0.15 input / $0.6 output | Mistral Small 4 has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.8Not available | Mistral Small 4175 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.8Not available | Mistral Small 40.64 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.81M | Mistral Small 4256K | Claude Opus 4.8 lists the larger context window. |
Benchmark Deep Dive
Agentic21 benchmarks
| Benchmark | Claude Opus 4.8 | Mistral Small 4 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 74.6% | — | Not comparable |
| BrowseCompSource | 84.3% | — | Not comparable |
| DeepSearchQASource | 93.1% | — | Not comparable |
| OSWorld-VerifiedSource | 83.4% | — | Not comparable |
| Finance Agent v2Source | 53.9% | — | Not comparable |
| GDPval-AASource | 1594 | 588 | Claude Opus 4.8 leads |
| MCP AtlasSource | 82.2% | — | Not comparable |
| ToolathlonSource | 59.9% | — | Not comparable |
| Gert LabsSource | 72.97% | — | Not comparable |
| AA Agentic IndexSource | 47.2% | 4.7% | Claude Opus 4.8 leads |
| τ²-bench resultsSource | 94.4% | 41.2% | Claude Opus 4.8 leads |
| GDPval-AASource | 54.7% | 4.4% | Claude Opus 4.8 leads |
| ResearchClawBenchSource | 21.1% | — | Not comparable |
| OSWorld 2.0Source | 20.6% | — | Not comparable |
| AA BriefcaseSource | 1347 | — | Not comparable |
| AA AutomationBenchSource | 48.5% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.0% | — | Not comparable |
| AA Harvey LABSource | 91.1% | — | Not comparable |
| AA Tau3 BankingSource | 27.6% | — | Not comparable |
| terminalBenchHardSource | 58.3% | — | Not comparable |
| aaTerminalBench21Source | 84.6% | — | Not comparable |
Coding10 benchmarks
| Benchmark | Claude Opus 4.8 | Mistral Small 4 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 88.6% | — | Not comparable |
| SWE-bench ProSource | 69.2% | — | Not comparable |
| SWE MultilingualSource | 84.4% | — | Not comparable |
| SWE MultimodalSource | 38.4% | — | Not comparable |
| Terminal-Bench 2.0Source | 74.6% | — | Not comparable |
| cursorBench31Source | 58.4% | — | Not comparable |
| cursorBench32Source | 62.3% | — | Not comparable |
| AA Coding IndexSource | 74.3% | 26.6% | Claude Opus 4.8 leads |
| AA-SciCodeSource | 53.5% | 38.0% | Claude Opus 4.8 leads |
| FrontierCode 1.1 MainSource | 46.5% | — | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Opus 4.8 | Mistral Small 4 | Result |
|---|---|---|---|
| GPQASource | 93.6% | — | Not comparable |
| GPQA-DSource | 93.6% | — | Not comparable |
| HLESource | 57.9% | — | Not comparable |
| HLE w/o toolsSource | 49.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 55.7% | 19.6% | Claude Opus 4.8 leads |
| AA-GPQA DiamondSource | 92.0% | 76.9% | Claude Opus 4.8 leads |
| AA-HLESource | 45.7% | 9.5% | Claude Opus 4.8 leads |
| AA-Omniscience IndexSource | 27.4% | -29.9% | Claude Opus 4.8 leads |
| AA-Omniscience AccuracySource | 46.6% | 22.1% | Claude Opus 4.8 leads |
| AA-Omniscience Hallucination RateSource | 35.9% | 66.8% | Claude Opus 4.8 leads |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.8 | Mistral Small 4 | Result |
|---|---|---|---|
| INCLUDESource | 87.6% | — | Not comparable |
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.8 | Mistral Small 4 | Result |
|---|---|---|---|
| AA-IFBenchSource | 62.2% | 48.2% | Claude Opus 4.8 leads |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.8 and Mistral Small 4 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 Claude Opus 4.8 and Mistral Small 4 today?
Claude Opus 4.8: $5.00 input / $25.00 output per 1M tokens Mistral Small 4: $0.15 input / $0.60 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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