Model comparison
Ling 2.6 Flash vs Mistral Large 3
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: Ling 2.6 Flash #154 (Estimated); Mistral Large 3 #113 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ling 2.6 Flash and Mistral Large 3 share 15 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Ling 2.6 Flash; 1 to Mistral Large 3.
Updated July 21, 2026- Shared results
- 15
- Ling 2.6 Flash only
- 3
- Mistral Large 3 only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Ling 2.6 Flash and Mistral Large 3 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.
Ling 2.6 Flash has the larger context window at 262K, compared with 128K for Mistral Large 3.
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 | Ling 2.6 Flash | Δ | Mistral Large 3 |
|---|---|---|---|
| Coding | Ling 2.6 Flash27.0 | MarginNo overlap | Mistral Large 3Not measured |
| Knowledge | Ling 2.6 Flash59.0 | MarginNo overlap | Mistral Large 3Not measured |
| Inst. Following | Ling 2.6 Flash57.0 | MarginNo overlap | Mistral Large 3Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Ling 2.6 Flash | Mistral Large 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ling 2.6 FlashNot available | Mistral Large 3$0.5 input / $1.5 output | A complete price comparison is not available. |
| Generation speedtokens per second | Ling 2.6 Flash209.5 tok/s | Mistral Large 348 tok/s | Ling 2.6 Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | Ling 2.6 Flash1.07 s | Mistral Large 31.04 s | Mistral Large 3 reaches the first token sooner. |
| Context windowmaximum listed tokens | Ling 2.6 Flash262K | Mistral Large 3128K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Ling 2.6 Flash | Mistral Large 3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | 15.9% | Mistral Large 3 leads |
| GPQASource | 59% | — | Not comparable |
| AA-GPQA DiamondSource | 59.3% | 68.0% | Mistral Large 3 leads |
| AA-HLESource | 6.2% | 4.1% | Ling 2.6 Flash leads |
| AA-Omniscience IndexSource | -65.7% | -39.4% | Mistral Large 3 leads |
| AA-Omniscience AccuracySource | 15.4% | 24.1% | Mistral Large 3 leads |
| AA-Omniscience Hallucination RateSource | 95.8% | 83.7% | Mistral Large 3 leads |
Multimodal1 benchmarks
| Benchmark | Ling 2.6 Flash | Mistral Large 3 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 55.7% | Not comparable |
Frequently Asked Questions (3)
Can I compare Ling 2.6 Flash and Mistral Large 3 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 Ling 2.6 Flash and Mistral Large 3 today?
Ling 2.6 Flash: Pricing unavailable Mistral Large 3: $0.50 input / $1.50 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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