Claude Fable 5 vs Mistral Large 3
At a Glance
| Compare | Claude Fable 5Anthropic |  Mistral Large 3Mistral AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #2 of 4695.6 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #44 of 44$1.01 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #29 of 3847.8 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $10.00Anthropic ↗ · Sep 3, 2026 | $0.25Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $50.00Anthropic ↗ · Sep 3, 2026 | $0.75Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,000K | 262K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Claude Fable 5 | Mistral Large 3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,492.63100% of row best · rating · claude-fable-5; 95% CI [1487.86770992, 1497.38399139]; votes 30057; rank 7 | 1,427.0496% of row best · rating · mistral-large-3; 95% CI [1424.05319044, 1430.03486299]; votes 69028; rank 91 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,325.86100% of row best · rating · claude-fable-5; 95% CI [1317.96760009, 1333.76174084]; votes 11304; rank 1 | 1,222.8992% of row best · rating · mistral-large-3; 95% CI [1213.86519768, 1231.90699514]; votes 6186; rank 70 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 89.06100% of row best · points · Claude Fable 5 (xhigh) · 18,129 output tokens / case | 70.3979% of row best · points · Mistral Large 3 · 2,056 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark winsNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Claude Fable 5 | Mistral Large 3 |
|---|---|---|
| Developer | Anthropic | Mistral AI |
| Family | Claude 5 | Mistral Large 3 |
| Model | Claude Fable 5 | Mistral Large 3 |
| Version | Claude Fable 5 | Mistral Large 3 |
| Lifecycle | active | active |
| Released | 2026-06-09 | 2025-12-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Document |
| Output modalities | Text | Text |
| Context window | 1,000K | 262K |
| Total parameters | Unknown | 675B |
| Active parameters | Unknown | 41B |
| License | Unknown | Apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard), Deepinfra (Standard), Openrouter (Standard) | Mistral AI (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, generation, structured_outputs, tools, vision |
Claude Fable 5 Capabilities
Mistral Large 3 Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Claude Fable 5Anthropic | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5Anthropic | vs | Claude Fable 5.1Anthropic | family variantsimage, text |
Claude Fable 5Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Fable 5Anthropic | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Claude Fable 5Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Fable 5Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Fable 5Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Fable 5Anthropic | cross-developer peersimage, text |
Claude Fable 5Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Fable 5Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Fable 5Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Fable 5Anthropic | vs | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Fable 5 vs Mistral Large 3 FAQs
Is Claude Fable 5 or Mistral Large 3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Fable 5 and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Fable 5 or Mistral Large 3?+
Claude Fable 5 is $10.00 and Mistral Large 3 is $0.25 per million tokens, so Mistral Large 3 is cheaper on this metric. Claude Fable 5 is $50.00 and Mistral Large 3 is $0.75 per million tokens, so Mistral Large 3 is cheaper on this metric.
Which has a larger context window, Claude Fable 5 or Mistral Large 3?+
Claude Fable 5 has the larger sourced context window. Claude Fable 5 supports 1,000K and Mistral Large 3 supports 262K.
Which performs better in benchmarks, Claude Fable 5 or Mistral Large 3?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Claude Fable 5 or Mistral Large 3 be self-hosted?+
Mistral Large 3 is the only model in this pair currently marked as self-hostable. Claude Fable 5 is not marked open weight; Mistral Large 3 is open weight.
Can Claude Fable 5 and Mistral Large 3 understand images?+
Claude Fable 5 is documented with image input; Mistral Large 3 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Fable 5 or Mistral Large 3?+
Neither has a larger sourced maximum output. Claude Fable 5 is 128K and Mistral Large 3 is —.
Do Claude Fable 5 and Mistral Large 3 support reasoning and tool use?+
Claude Fable 5: reasoning, tool calling, and image input. Mistral Large 3: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Fable 5 or Mistral Large 3?+
Claude Fable 5 has 3 sourced provider routes; Mistral Large 3 has 2, so Claude Fable 5 has broader tracked availability.
Which offers better value, Claude Fable 5 or Mistral Large 3?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.