Alternatives to Mistral Large 4

Mistral LMArena 1429.7 $2.07/M on a balanced workload price under confirmation since 2026-10-21 prices as of 2026-10-21, except 14 under confirmation

6 models are higher-scoring or cheaper, with neither dimension worse.

Of the 142 models carrying both an independent score and a published price at the same delivery mode, 34 score at least as high as Mistral Large 4 and cost no more under at least one listed workload, with at least one of those dimensions improved. 6 match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. 28 have a recorded capability loss, named on every row.

Dominance is not a property of a model. It is a property of a model, a capability lens and a workload, and all three are named on every row. Scores are LMArena Elo, used under CC BY 4.0 from the official dataset; prices are blended per million tokens. A higher score is not a drop-in replacement.

This page lists models only while a candidate improves score or price without worsening the other under a listed workload. When that comparison no longer holds, this address stays and says so.

Where it holds

Workload	Mistral Large 4 $/M	Recorded capabilities preserved	Recorded capability losses
Balanced	$2.07Price under confirmation since Oct 21, 2026	5	28
Summarise	$1.15Price under confirmation since Oct 21, 2026	6	28
Chat	$2.12Price under confirmation since Oct 21, 2026	5	28
Code gen	$2.95Price under confirmation since Oct 21, 2026	2	28
Agentic	$1.06Price under confirmation since Oct 21, 2026	5	27

Workload mixes are defined on the methodology page. Cached input is priced at the cached rate, and reasoning tokens at the worse of the reasoning and output rates.

What you would be replacing

Intelligence	1429.7
Context window	1M
Max output	262K
Input modes	text, image
Tool use	yes
Extended reasoning	yes

Preserving recorded capabilities requires matching or beating these fields. Full record for Mistral Large 4, or check Mistral Large 4 against the whole catalogue.

Recorded capabilities preserved 6

Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats Mistral Large 4 on recorded context, maximum output, input modes, tool use and extended reasoning.

#	Model	Intelligence	$/M	Holds under
1	Muse Spark 1.3 Meta	1489.8 +60.1	$2.00	Balanced −3% Summarise −6% Chat under 1% less Agentic −1%
2	Muse Spark 1.2 Meta	1484.9 +55.2	$2.00	Balanced −3% Summarise −6% Chat under 1% less Agentic −1%
3	GLM 5.3 Flash Z.ai	1471 +41.3	$0.238 Price under confirmation since Oct 12, 2026	Balanced −88% Summarise −88% Chat −88% Code gen −88% Agentic −88%
4	Muse Spark 1.1 Meta	1478.1 +48.4	$2.00	Balanced −3% Summarise −6% Chat under 1% less Agentic −1%
5	DeepSeek V4.1 Flash DeepSeek	1462.5 +32.8	$0.182 Price under confirmation since Oct 12, 2026	Balanced −91% Summarise −94% Chat −88% Code gen −88% Agentic −90%
6	Kimi K3 Moonshot AI	1475.6 +45.9	$1.14 summarise Price under confirmation since Oct 13, 2026	Summarise −1%

Alternatives with recorded capability losses 28

These improve score or price without worsening the other under the listed workloads, but reduce at least one recorded capability. Read the last column before switching.

Model	Intelligence	$/M	Holds under	Recorded capability loss
MiMo-V2.6-Pro Xiaomi	1490.3 +60.6	$0.540 Price under confirmation since Oct 21, 2026	Balanced −74% Summarise −71% Chat −77% Code gen −78% Agentic −77%	262K → 131K max output
Gemini 3.6 Flash Google	1479.5 +49.8	$1.50	Balanced −27% Summarise −39% Chat −18% Code gen −16% Agentic −24%	262K → 66K max output
GLM 5.3 Z.ai	1471.4 +41.7	$1.00 Price under confirmation since Oct 12, 2026	Balanced −52% Summarise −70% Chat −31% Code gen −28% Agentic −38%	no image input
GLM 5.2 Z.ai	1470 +40.3	$1.12 Price under confirmation since Oct 12, 2026	Balanced −46% Summarise −63% Chat −27% Code gen −24% Agentic −34%	no image input
MiMo-V2.5-Pro Xiaomi	1465.1 +35.4	$0.544 Price under confirmation since Oct 21, 2026	Balanced −74% Summarise −71% Chat −77% Code gen −78% Agentic −77%	no image input
MiMo-V2.6-Flash Xiaomi	1455.2 +25.5	$0.168 Price under confirmation since Oct 21, 2026	Balanced −92% Summarise −91% Chat −93% Code gen −93% Agentic −93%	262K → 131K max output
GLM 5.1 Z.ai	1462.6 +32.9	$1.83 Price under confirmation since Oct 21, 2026	Balanced −12% Summarise under 1% less Chat −4% Code gen −10%	1M → 205K context 262K → 131K max output no image input
Qwen3.7 Plus Qwen	1454.6 +24.9	$0.560	Balanced −73% Summarise −74% Chat −70% Code gen −70% Agentic −71%	1M → 1M context 262K → 131K max output
Kimi K2.6 Moonshot AI	1455.4 +25.7	$0.825	Balanced −60% Summarise −64% Chat −56% Code gen −55% Agentic −59%	1M → 262K context 262K → 236K max output
Gemma 4 31B Google	1442.9 +13.2	$0.205	Balanced −90% Summarise −87% Chat −89% Code gen −90% Agentic −83%	1M → 262K context 262K → 16K max output
GLM 5 Z.ai	1446.1 +16.4	$1.09	Balanced −47% Summarise −46% Chat −46% Code gen −47% Agentic −43%	1M → 205K context 262K → 131K max output no image input
DeepSeek V4 Pro 0423 DeepSeek	1445.4 +15.7	$1.21 Price under confirmation since Oct 21, 2026	Balanced −42% Summarise −56% Chat −27% Code gen −24% Agentic −34%	no image input
Kimi K2.5 Moonshot AI	1445 +15.3	$1.20	Balanced −42% Summarise −50% Chat −34% Code gen −32% Agentic −37%	1M → 262K context 262K → 236K max output
Hy3 Tencent	1437.4 tie	$0.231	Balanced −89% Summarise −89% Chat −88% Code gen −88% Agentic −87%	1M → 262K context 262K → 128K max output no image input
GLM 4.6 Z.ai	1439.9 tie	$0.760 Price under confirmation since Oct 21, 2026	Balanced −63% Summarise −66% Chat −60% Code gen −60% Agentic −60%	1M → 205K context 262K → 131K max output no image input
Qwen3.8 27B Qwen	1440.6 +10.9	$0.956 Price under confirmation since Oct 21, 2026	Balanced −54% Summarise −62% Chat −45% Code gen −43% Agentic −49%	1M → 1M context 262K → 66K max output
Qwen3.5 397B A17B Qwen	1437.9 tie	$0.878	Balanced −58% Summarise −58% Chat −45% Code gen −47% Agentic −35%	1M → 262K context 262K → 66K max output
Gemma 4 26B A4B Google	1433.9 tie	$0.128	Balanced −94% Summarise −94% Chat −92% Code gen −93% Agentic −92%	1M → 262K context 262K → 236K max output
Step 5 Preview StepFun	1440 tie	$1.43	Balanced −31% Summarise −28% Chat −34% Code gen −34% Agentic −32%	262K → 64K max output
Qwen3.6 Plus Qwen	1436.4 tie	$0.731	Balanced −65% Summarise −65% Chat −54% Code gen −56% Agentic −46%	1M → 1M context 262K → 66K max output
Inkling Thinking Machines	1441.2 +11.5	$1.73	Balanced −16% Summarise −24% Chat −8% Code gen −7% Agentic −11%	1M → 524K context
GLM 4.7 Z.ai	1435.5 tie	$0.738	Balanced −64% Summarise −67% Chat −60% Code gen −60% Agentic −61%	1M → 205K context 262K → 131K max output no image input
DeepSeek V4 Flash 0423 DeepSeek	1432.2 tie	$0.113 Price under confirmation since Oct 12, 2026	Balanced −95% Summarise −94% Chat −95% Code gen −95% Agentic −94%	no image input
MiniMax M3 MiniMax	1433.4 tie	$0.485 524K context at this price; 1M published	Balanced −77% Summarise −78% Chat −75% Code gen −74% Agentic −74%	1M → 524K context at this price
Gemini 3.5 Flash Lite Google	1434.7 tie	$0.850	Balanced −59% Summarise −71% Chat −48% Code gen −46% Agentic −56%	262K → 66K max output
GPT-5.6 Luna OpenAI	1430.6 tie	$0.450	Balanced −78% Summarise −83% Chat −74% Code gen −73% Agentic −77%	262K → 128K max output
GLM 5V Turbo Z.ai	1437.5 tie	$1.90	Balanced −8% Summarise −8% Chat −4% Code gen −5% Agentic −1%	1M → 203K context 262K → 131K max output
GLM 4.5 Z.ai	1430 tie	$1.00	Balanced −52% Summarise −53% Chat −48% Code gen −49% Agentic −48%	1M → 131K context 262K → 98K max output no image input

What this compares, and what it leaves out

Quality is LMArena Elo, used under CC BY 4.0 from the official dataset. The 95% confidence interval on a difference between two scores is about ±10.36 points, so a gap smaller than that is marked tie rather than an improvement — see significance bands.
203 further models at this delivery mode carry a price but no independent score. They are absent from the comparison in both directions — unrated is not a zero, and an unmeasured model is neither an alternative nor a worse buy.
Retired models are never offered as an alternative, and a model only competes against its own delivery mode: batch trades latency for price, so it is not a like-for-like swap.
Nothing here measures latency, throughput, rate limits or how a model behaves on your prompts. Two models with the same index score are not interchangeable.
Models with no higher-scoring or cheaper alternative that is no worse on the other axis are on the value frontier. Models with such an alternative are listed here.

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