Model comparison
Inkling vs Mistral Large 3
Head-to-head evidence from 14 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Inkling #17; Mistral Large 3 unranked
BenchAlign evidence: Inkling not scored; Mistral Large 3 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Inkling and Mistral Large 3 share 14 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to Inkling; 3 to Mistral Large 3.
Updated July 16, 2026- Shared results
- 14
- Inkling only
- 18
- Mistral Large 3 only
- 3
- Comparable categories
- 0 / 8
Benchmark data for Inkling and Mistral Large 3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 14 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.
Inkling is priced at $1.87 input / $4.68 output per 1M tokens, versus $0.50 input / $1.50 output per 1M tokens for Mistral Large 3. Inkling has the larger context window at 1M, 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 | Inkling | Δ | Mistral Large 3 |
|---|---|---|---|
| Agentic | Inkling69.4 | MarginNo overlap | Mistral Large 3Not measured |
| Coding | Inkling68.6 | MarginNo overlap | Mistral Large 3Not measured |
| Knowledge | Inkling51.7 | MarginNo overlap | Mistral Large 3Not measured |
| Math | Inkling97.1 | MarginNo overlap | Mistral Large 3Not measured |
| Multimodal | Inkling76.5 | MarginNo overlap | Mistral Large 3Not measured |
| Inst. Following | Inkling79.8 | MarginNo overlap | Mistral Large 3Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Inkling | Mistral Large 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Inkling$1.87 input / $4.68 output | Mistral Large 3$0.5 input / $1.5 output | Mistral Large 3 has the lower combined listed price. |
| Generation speedtokens per second | InklingNot available | Mistral Large 348 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | InklingNot available | Mistral Large 31.04 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Inkling1M | Mistral Large 3128K | Inkling lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Inkling | Mistral Large 3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 63.8% | — | Not comparable |
| BrowseCompSource | 77.1% | — | Not comparable |
| MCP AtlasSource | 74.1% | — | Not comparable |
| Design Arena Agentic Web DevSource | 1258 | — | Not comparable |
| AA Agentic IndexSource | 32.3% | 5.5% | Inkling leads |
| GDPval-AASource | 36.9% | 6.6% | Inkling leads |
| GDPval-AASource | 1239 | 633 | Inkling leads |
| AA BriefcaseSource | 836 | — | Not comparable |
| AA Tau3 BankingSource | 23.7% | — | Not comparable |
| τ²-bench resultsSource | — | 24.6% | Not comparable |
Coding6 benchmarks
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Inkling | Mistral Large 3 | Result |
|---|---|---|---|
| GPQASource | 87.9% | — | Not comparable |
| GPQA-DSource | 87.9% | — | Not comparable |
| HLESource | 46% | — | Not comparable |
| HLE w/o toolsSource | 30% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 40.7% | 15.9% | Inkling leads |
| AA-GPQA DiamondSource | 87.2% | 68.0% | Inkling leads |
| AA-HLESource | 29.7% | 4.1% | Inkling leads |
| AA-Omniscience IndexSource | 2.1% | -39.4% | Inkling leads |
| AA-Omniscience AccuracySource | 40.0% | 24.1% | Inkling leads |
| AA-Omniscience Hallucination RateSource | 63.1% | 83.7% | Inkling leads |
Math1 benchmarks
| Benchmark | Inkling | Mistral Large 3 | Result |
|---|---|---|---|
| AIME26Source | 97.1% | — | Not comparable |
Multimodal4 benchmarks
Frequently Asked Questions (3)
Can I compare Inkling 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 Inkling and Mistral Large 3 today?
Inkling: $1.87 input / $4.68 output per 1M tokens 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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