Model comparison
DeepSeek V3.1 vs Mistral Medium 3.5 128B
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V3.1 #100 (Supported); Mistral Medium 3.5 128B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.1 and Mistral Medium 3.5 128B share 11 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to DeepSeek V3.1; 14 to Mistral Medium 3.5 128B.
Updated July 27, 2026- Shared results
- 11
- DeepSeek V3.1 only
- 1
- Mistral Medium 3.5 128B only
- 14
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V3.1 and Mistral Medium 3.5 128B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 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.
Mistral Medium 3.5 128B is priced at $1.50 input / $7.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek V3.1. Mistral Medium 3.5 128B has the larger context window at 256K, compared with 128K for DeepSeek V3.1.
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 | DeepSeek V3.1 | Δ | Mistral Medium 3.5 128B |
|---|---|---|---|
| Coding | DeepSeek V3.1Not measured | MarginNo overlap | Mistral Medium 3.5 128B77.6 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3.1 | Mistral Medium 3.5 128B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.1$0 input / $0 output | Mistral Medium 3.5 128B$1.5 input / $7.5 output | DeepSeek V3.1 has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3.1Not available | Mistral Medium 3.5 128BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3.1Not available | Mistral Medium 3.5 128BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3.1128K | Mistral Medium 3.5 128B256K | Mistral Medium 3.5 128B lists the larger context window. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | DeepSeek V3.1 | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 34.8% | 94.2% | Mistral Medium 3.5 128B leads |
| τ³-bench resultsSource | — | 91.4% | Not comparable |
| AA Agentic IndexSource | — | 19.0% | Not comparable |
| GDPval-AASource | — | 21.6% | Not comparable |
| GDPval-AASource | — | 933 | Not comparable |
| Gert LabsSource | — | 39.10% | Not comparable |
| AA EnterpriseOps-GymSource | — | 33.7% | Not comparable |
| AA Harvey LABSource | — | 69.1% | Not comparable |
| terminalBenchHardSource | — | 33.3% | Not comparable |
| AA BriefcaseSource | — | 516 | Not comparable |
| AA Tau3 BankingSource | — | 14.4% | Not comparable |
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | DeepSeek V3.1 | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 21.1% | 29.9% | Mistral Medium 3.5 128B leads |
| AA-GPQA DiamondSource | 73.5% | 74.8% | Mistral Medium 3.5 128B leads |
| AA-HLESource | 6.3% | 12.8% | Mistral Medium 3.5 128B leads |
| AA-Omniscience IndexSource | -41.1% | -36.3% | Mistral Medium 3.5 128B leads |
| AA-Omniscience AccuracySource | 23.1% | 25.1% | Mistral Medium 3.5 128B leads |
| AA-Omniscience Hallucination RateSource | 83.5% | 82.0% | Mistral Medium 3.5 128B leads |
| AA Openness IndexSource | — | 33.3% | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.1 | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| AA-IFBenchSource | 37.8% | 68.8% | Mistral Medium 3.5 128B leads |
Frequently Asked Questions (3)
Can I compare DeepSeek V3.1 and Mistral Medium 3.5 128B 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 DeepSeek V3.1 and Mistral Medium 3.5 128B today?
DeepSeek V3.1: $0.00 input / $0.00 output per 1M tokens Mistral Medium 3.5 128B: $1.50 input / $7.50 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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