Benchmarks / BulletBench

Measured by Spring Prompt

BulletBench

Name: BulletBench results
Creator: Spring Prompt

When every second of thinking time comes off the clock, which models are fast enough to still make good decisions?

Last updated 8 Oct 2026

Results dated: 1 Oct 2026 to 8 Oct 2026
Results: 31 configurations of 27 models
Unit: ladder Elo
Licence: Spring Prompt original
Sample: 8 to 12 games per configuration

Ladder Elo: Gemini 3.6 Flash

Top 15 of 31 results · ladder Elo, higher is better · lines show the 95% range · ≈ cannot be told apart from the leader. Choose a model to highlight it.Clear highlight

1≈ Gemini 3.8 Flash (low reasoning)Google 1,068
2≈ Gemini 3.1 Flash-Lite (minimal reasoning)Google 912
3≈ Gemini 3.5 Flash (minimal reasoning)Google 810
4≈ Gemini 3.5 Flash-LiteGoogle 780
5 Gemini 3.6 Flash (minimal reasoning)Google 628
6 d1 Decision modelLiquid AI 584
7 Mercury Decide Decision modelInception 572
7 Mistral Medium 3.5 (no reasoning)Mistral AI 572
7 Jev 1.13 Decision modelTypeSafe 572
10 Clef Flash Decision modelCloudflare 529
10 Clef Decision modelCloudflare 529
10 Gemini 3.1 Pro Preview (low reasoning)Google 529
10 Gemini 3.8 FlashGoogle 529
10 Inkling Small (no reasoning)Thinking Machines 529
15 GPT-6 Luna Decisions Decision modelOpenAI 489

Lightning: strength against thinking time

Each configuration's median time per move at 10 seconds plus 1 a move. Right of the line, a model thinks longer than the increment it earns and the clock drains.

Named: the six bestOther models (hover for names)

Full results

BulletBench Bullet 60s: ladder Elo, ladder Elo, higher is better
#	Model	Bullet 60s · 95% range ladder Elo, higher is better	Lightning 10+1 ladder Elo	Blitz 3+2 ladder Elo	Move time seconds	Lost on time % of games	Cost per game US dollars	Slowest 10% of moves seconds, 90th percentile	Games at this clock
1≈	Gemini 3.8 Flash (low reasoning)Google	1,068 888–1,241	197	–	1.8 s	50.0%	$0.0165	2.2 s	12
2≈	Gemini 3.1 Flash-Lite (minimal reasoning)Google	912 697–1,087	780	–	0.8 s	8.3%	$0.0068	–	–
3≈	Gemini 3.5 Flash (minimal reasoning)Google	810 582–1,006	727	–	1.2 s	25.0%	$0.0289	1.4 s	12
4≈	Gemini 3.5 Flash-LiteGoogle	780 586–956	892	707	0.9 s	0.0%	$0.0058	–	–
5	Gemini 3.6 Flash (minimal reasoning)Google	628 429–849	33	–	1.6 s	41.7%	$0.0113	1.9 s	12
6	d1 Decision modelLiquid AI	584 435–749	572	–	0.6 s	0.0%	$0.0007	0.7 s	12
7	Mercury Decide Decision modelInception	572 428–717	614	–	0.4 s	0.0%	$0	0.5 s	12
7	Mistral Medium 3.5 (no reasoning)Mistral AI	572 428–708	529	–	0.5 s	0.0%	$0.0354	0.7 s	12
7	Jev 1.13 Decision modelTypeSafe	572 429–720	571	–	0.5 s	0.0%	$0.0013	0.6 s	12
10	Clef Flash Decision modelCloudflare	529 388–670	529	–	0.5 s	0.0%	$0.0025	0.7 s	12
10	Clef Decision modelCloudflare	529 373–653	529	–	0.7 s	0.0%	$0.0056	1.0 s	12
10	Gemini 3.1 Pro Preview (low reasoning)Google	529 329–698	–	–	3.1 s	58.3%	$0.0446	4.4 s	12
10	Gemini 3.8 FlashGoogle	529 263–688	–	1,126	2.8 s	58.3%	$0.0154	4.8 s	12
10	Inkling Small (no reasoning)Thinking Machines	529 393–652	571	–	0.6 s	0.0%	$0.0075	1.5 s	12
15	GPT-6 Luna Decisions Decision modelOpenAI	489 376–608	529	–	0.5 s	0.0%	$0.0026	0.7 s	12
16	Seed-2.0-Mini (minimal reasoning)ByteDance	453 355–538	571	–	0.3 s	0.0%	$0.0030	0.4 s	12
17	Claude Haiku 4.5Anthropic	445 135–626	33	491	1.2 s	25.0%	$0.0163	1.7 s	12
17	GPT-6 Sol (no reasoning)OpenAI	445 215–639	–	–	1.6 s	50.0%	$0.0297	2.1 s	12
19	Mistral Medium 3.5Mistral AI	385 276–464	529	555	0.5 s	8.3%	$0.0420	1.0 s	12
19	Decider V1 27B Decision modelPerplexity	385 279–459	420	–	0.6 s	8.3%	$0.0010	0.8 s	12
21	Mistral Small 4 (no reasoning)Mistral AI	367 126–564	571	–	0.6 s	25.0%	$0.0039	1.1 s	12
22	GPT-6 Astra (low reasoning)OpenAI	323 0–528	–	–	2.3 s	75.0%	$0.10	5.7 s	12
23	Claude Haiku 5.5 (no reasoning)Anthropic	310 0–575	–	–	1.7 s	37.5%	$0.0019	–	–
24	GPT-6 Luna (no reasoning)OpenAI	249 0–453	–	–	1.5 s	50.0%	$0.0016	2.3 s	12
25	GPT-5.4 mini (no reasoning)OpenAI	197 0–445	571	–	0.9 s	50.0%	$0.0205	–	–
25	GPT-6 AstraOpenAI	197 0–439	–	839	3.0 s	83.3%	$0.0943	6.1 s	12
27	Muse Spark 1.3 (minimal reasoning)Meta	33 0–270	–	–	4.2 s	91.7%	$0.0142	11.4 s	12
27	Kimi K3 (low reasoning)Moonshot AI	33 0–270	–	–	2.6 s	91.7%	$0.0540	11.3 s	12
27	GPT-5.4 nano (no reasoning)OpenAI	33 0–273	197	–	1.1 s	66.7%	$0.0050	–	–
27	GLM-5.3 (low reasoning)Z.ai	33 0–270	–	–	1.6 s	83.3%	$0.0220	–	–
27	GLM-5.3Z.ai	33 0–270	–	–	3.6 s	91.7%	$0.0156	–	–

Swipe the table sideways for more columns.

Ranks follow the score as shown, so equal numbers share a rank. ≈ marks results whose 95% range overlaps the leader's: they cannot be told apart from it. Each model runs at its provider's default reasoning setting and, where the provider offers a faster one, again at its fastest setting, listed separately. Blitz 3+2 was run at default settings only. Equal ratings are not a glitch: the ladder's ratings come in steps (see Honest caveats below).

Too slow for the clock

These configurations lost their first four games on time, so they were stopped there and are not rated for that clock. Each shows its median time per move and the time that 1 move in 10 took or exceeded: a median under the increment still loses on time when the slow tail is long. Being too slow is the result, not a fault.

Bullet 60s

Claude Fable 5.1 median 4.2 s, 1 in 10 moves 6.3 s+
Claude Fable 5.1 (low reasoning) median 4.3 s, 1 in 10 moves 9.3 s+
Claude Haiku 5.5 median 4.7 s
Claude Haiku 5.5 (low reasoning) median 3.6 s
Claude Opus 5.5 median 3.1 s, 1 in 10 moves 5.8 s+
Claude Opus 5.5 (low reasoning) median 3.1 s, 1 in 10 moves 5.3 s+
Claude Sonnet 5.5 median 3.0 s, 1 in 10 moves 9.4 s+
Claude Sonnet 5.5 (low reasoning) median 2.6 s, 1 in 10 moves 5.0 s+
DeepSeek V4 Pro 0423 median 5.0 s, 1 in 10 moves 27.8 s+
DeepSeek V4.1 Flash (low reasoning) median 1.9 s, 1 in 10 moves 10.6 s+
Gemini 3.1 Pro Preview median 4.9 s, 1 in 10 moves 8.4 s+
Kev 4B median 1.9 s, 1 in 10 moves 15.4 s+
Muse Spark 1.3 median 7.0 s, 1 in 10 moves 28.1 s+
Mistral Large 4 median 0.8 s, 1 in 10 moves 2.9 s+
Kimi K3 median 3.2 s, 1 in 10 moves 33.8 s+
GPT-6 Luna median 4.6 s, 1 in 10 moves 10.8 s+
GPT-6 Sol median 4.2 s, 1 in 10 moves 9.4 s+
Qwen3.8 Flash median 3.8 s, 1 in 10 moves 16.9 s+
Qwen3.8 Max (0902) median 4.9 s, 1 in 10 moves 22.8 s+
Qwen3.8 Max (0902) (minimal reasoning) median 4.7 s, 1 in 10 moves 10.3 s+
Grok 4.7 median 4.7 s, 1 in 10 moves 17.7 s+
Grok 4.7 (low reasoning) median 5.4 s, 1 in 10 moves 15.5 s+
MiMo-V2.6-Flash median 4.0 s, 1 in 10 moves 11.7 s+
GLM 4.7 Flash median 9.7 s, 1 in 10 moves 23.1 s+
GLM 5.3 Flash (low reasoning) median 2.2 s, 1 in 10 moves 5.3 s+

Lightning 10+1

Claude Fable 5.1 median 4.4 s, 1 in 10 moves 6.7 s+
Claude Fable 5.1 (low reasoning) median 4.1 s, 1 in 10 moves 6.7 s+
Claude Haiku 5.5 median 1.9 s
Claude Haiku 5.5 (low reasoning) median 2.0 s
Claude Haiku 5.5 (no reasoning) median 1.8 s
Claude Opus 5.5 median 3.0 s, 1 in 10 moves 3.5 s+
Claude Opus 5.5 (low reasoning) median 2.8 s, 1 in 10 moves 3.3 s+
Claude Sonnet 5.5 median 2.1 s, 1 in 10 moves 2.7 s+
DeepSeek V4 Pro 0423 median 4.6 s, 1 in 10 moves 6.6 s+
DeepSeek V4.1 Flash (low reasoning) median 0.8 s, 1 in 10 moves 1.7 s+
Gemini 3.1 Pro Preview median 2.7 s, 1 in 10 moves 3.4 s+
Gemini 3.1 Pro Preview (low reasoning) median 2.5 s, 1 in 10 moves 3.0 s+
Gemini 3.8 Flash median 2.3 s, 1 in 10 moves 2.9 s+
Muse Spark 1.3 median 4.6 s, 1 in 10 moves 9.5 s+
Muse Spark 1.3 (minimal reasoning) median 2.2 s, 1 in 10 moves 4.9 s+
Kimi K3 median 1.4 s, 1 in 10 moves 6.5 s+
Kimi K3 (low reasoning) median 1.7 s, 1 in 10 moves 4.2 s+
GPT-6 Astra median 2.0 s, 1 in 10 moves 3.4 s+
GPT-6 Astra (low reasoning) median 2.1 s, 1 in 10 moves 3.1 s+
GPT-6 Luna median 2.9 s, 1 in 10 moves 4.2 s+
GPT-6 Luna (no reasoning) median 2.1 s, 1 in 10 moves 3.1 s+
GPT-6 Sol median 1.6 s, 1 in 10 moves 3.7 s+
GPT-6 Sol (no reasoning) median 1.6 s, 1 in 10 moves 2.0 s+
Qwen3.8 Flash median 2.5 s, 1 in 10 moves 3.8 s+
Qwen3.8 Max (0902) median 3.1 s, 1 in 10 moves 4.6 s+
Qwen3.8 Max (0902) (minimal reasoning) median 2.9 s, 1 in 10 moves 4.9 s+
Grok 4.7 median 2.5 s, 1 in 10 moves 5.5 s+
Grok 4.7 (low reasoning) median 2.3 s, 1 in 10 moves 4.3 s+
MiMo-V2.6-Flash median 3.1 s, 1 in 10 moves 4.6 s+
GLM 4.7 Flash median 4.4 s, 1 in 10 moves 6.0 s+
GLM 5.3 median 1.8 s, 1 in 10 moves 6.2 s+
GLM 5.3 (low reasoning) median 1.2 s, 1 in 10 moves 4.0 s+
GLM 5.3 Flash (low reasoning) median 0.9 s, 1 in 10 moves 2.6 s+

Blitz 3+2

DeepSeek V4 Pro 0423 median 6.4 s, 1 in 10 moves 29.7 s+
Muse Spark 1.3 median 19.4 s, 1 in 10 moves 60.0 s+
Mistral Large 4 (high reasoning) median 26.1 s, 1 in 10 moves 69.5 s+
Kimi K3 median 6.8 s, 1 in 10 moves 32.1 s+
GPT-6 Sol median 8.2 s, 1 in 10 moves 22.9 s+
Qwen3.8 Max (0902) median 7.4 s, 1 in 10 moves 88.9 s+
Grok 4.7 median 9.9 s, 1 in 10 moves 32.9 s+

Decision models

Decision models answer a typed question instead of writing text. Each move is one question whose options are the legal moves, so they cannot play an illegal move, and they are not told their clock. They play the same clock, ladder and engine and are in the table above; here they are ranked among themselves.

BulletBench Bullet 60s: ladder Elo, ladder Elo, higher is better
#	Model	Bullet 60s · 95% range ladder Elo, higher is better	Lightning 10+1 ladder Elo	Move time seconds	Lost on time % of games	Cost per game US dollars	Slowest 10% of moves seconds, 90th percentile	Games at this clock
1≈	d1Liquid AI	584 435–749	572	0.6 s	0.0%	$0.0007	0.7 s	12
2≈	Mercury DecideInception	572 428–717	614	0.4 s	0.0%	$0	0.5 s	12
2≈	Jev 1.13TypeSafe	572 429–720	571	0.5 s	0.0%	$0.0013	0.6 s	12
4≈	Clef FlashCloudflare	529 388–670	529	0.5 s	0.0%	$0.0025	0.7 s	12
4≈	ClefCloudflare	529 373–653	529	0.7 s	0.0%	$0.0056	1.0 s	12
6≈	GPT-6 Luna DecisionsOpenAI	489 376–608	529	0.5 s	0.0%	$0.0026	0.7 s	12
7≈	Decider V1 27BPerplexity	385 279–459	420	0.6 s	8.3%	$0.0010	0.8 s	12

Swipe the table sideways for more columns.

Too slow for the clock. These lost their first four games on time and are not rated for that clock.

Bullet 60s

Kev 4B median 1.9 s, 1 in 10 moves 15.4 s+

Real games: the clock at Lightning 10+1

Each model's clock after every move of one game. A fast model earns back more than it spends; a slow one runs out within a few moves, whatever the position.

Gemini 3.5 Flash LiteWon by checkmate after 28 moves

e40.6 s10.4 s left
Nf30.9 s10.4 s left
Bc40.6 s10.9 s left
O-O0.9 s10.9 s left
c30.6 s11.4 s left
d40.9 s11.4 s left
Nxe51.0 s11.4 s left
Nxc60.6 s11.8 s left
Qxg40.9 s11.9 s left
Qxc8+0.9 s12.0 s left
… 18 more moves

Claude Opus 5.5Lost on time after 3 moves

e43.5 s7.5 s left
Nf33.5 s5.0 s left
d43.3 s2.6 s left

More from the results

Bullet: strength against thinking time

The same at 60 seconds for the whole game, no increment. A 40-move game leaves 1.5 seconds a move.

Named: the six bestOther models (hover for names)

How games are lost

Share of games lost on time, and moves with no legal reply, by clock.

Model	On time, Lightning	On time, Bullet	Invalid moves, Lightning	Invalid moves, Bullet
Gemini 3.5 Flash-LiteGoogle	0.0%	0.0%	0.0%	0.0%
Gemini 3.1 Flash-Lite (minimal reasoning)Google	0.0%	8.3%	0.2%	0.0%
Gemini 3.5 Flash (minimal reasoning)Google	33.3%	25.0%	0.6%	0.5%
Mercury DecideInception	0.0%	0.0%	0.0%	0.0%
d1Liquid AI	0.0%	0.0%	0.0%	0.0%
Seed-2.0-Mini (minimal reasoning)ByteDance	0.0%	0.0%	0.8%	0.4%
Mistral Small 4 (no reasoning)Mistral AI	0.0%	25.0%	1.0%	0.6%
GPT-5.4 mini (no reasoning)OpenAI	0.0%	50.0%	0.0%	0.0%
Inkling Small (no reasoning)Thinking Machines	0.0%	0.0%	5.3%	7.2%
Jev 1.13TypeSafe	0.0%	0.0%	0.0%	0.0%
Clef FlashCloudflare	0.0%	0.0%	0.0%	0.0%
ClefCloudflare	0.0%	0.0%	0.0%	0.0%
Mistral Medium 3.5 (no reasoning)Mistral AI	0.0%	0.0%	0.0%	0.4%
Mistral Medium 3.5Mistral AI	0.0%	8.3%	0.3%	0.8%
GPT-6 Luna DecisionsOpenAI	0.0%	0.0%	0.0%	0.0%
Decider V1 27BPerplexity	0.0%	8.3%	0.0%	0.0%
Mistral Large 4Mistral AI	58.3%	–	1.8%	–
Gemini 3.8 Flash (low reasoning)Google	83.3%	50.0%	0.0%	0.0%
GPT-5.4 nano (no reasoning)OpenAI	75.0%	66.7%	4.0%	3.1%
Claude Haiku 4.5Anthropic	83.3%	25.0%	0.0%	0.3%
Claude Sonnet 5.5 (low reasoning)Anthropic	91.7%	–	0.0%	–
Gemini 3.6 Flash (minimal reasoning)Google	91.7%	41.7%	0.0%	0.3%
Kev 4BJared Palmer	66.7%	–	0.0%	–

Lightning: strength against cost

What one Lightning game cost at the run date's prices, on a log scale. Up and to the left is better; the dashed line joins the strongest model at each cost.

Named: the six best and the best for the moneyOther models (hover for names)Best score at each cost

Best per budget

d1: 572 at $0.0005
Gemini 3.1 Flash-Lite (minimal reasoning): 780 at $0.0058
Gemini 3.5 Flash-Lite: 892 at $0.0070

Cheapest first: each model here beats every cheaper one on score.

How BulletBench works

1
The position
The model gets the position, the moves so far, its remaining clock and the legal moves.
2
The reply
It answers with one move. The whole API round trip, including any hidden reasoning, comes off its clock.
3
The engine
Stockfish replies instantly at the model's current ladder level.
4
The ladder
Win and the next game is a level up; lose and it is a level down; draw and it stays. The results give a rating with a 95% interval.

Why chess on a clock

Many products need an answer in about a second: routing, triage, autocomplete, live agents. BulletBench asks which models can still think usefully at that speed. Chess gives a hard, objective score, and the clock makes slow thinking a real cost instead of a free extra.

The clocks

Lightning 10+1: Ten seconds, plus one second a move. A model can play for ever, but only at about a second an answer.
Bullet 60s: One minute for the whole game, no increment.
Blitz 3+2: Three minutes plus two seconds a move: room for reasoning models, for comparison.

Fair play

Same prompt: Every model gets the same system prompt and position format.
Invalid replies: A reply with no legal move gets two corrective retries, then a random legal move is played and counted.
Settings: Each model runs at its provider's default and, where the provider offers one, its fastest reasoning setting, shown separately.

Honest caveats

A dozen games or fewer per clock (the table gives each configuration's count) give wide intervals, so neighbouring ranks are often within each other's ranges. Ratings also come in steps: the engine plays at fixed levels and the rating is fitted from which levels a model beat, drew or lost to, so models with the same results against the same levels get exactly the same rating. Latency depends on the provider's servers on the day. The ladder's Elo anchors come from v1's Stockfish; this edition runs Stockfish 19, so ratings are not comparable with v1's.

What it measures

Decision quality under real time pressure
Response latency at the provider's default settings
Which reasoning settings are fast enough to use

What it does not measure

Any business skill: this is chess against an engine
Chess strength without a clock

Method

Games against a Stockfish ladder; every second of response time comes off the model's clock
Each model at its default setting and, where offered, its fastest reasoning setting
Ladder Elo with a 95% interval; it orders models, it is not a FIDE rating

BulletBench

Ladder Elo: Gemini 3.6 Flash

Lightning: strength against thinking time

Full results

Too slow for the clock

Bullet 60s

Lightning 10+1

Blitz 3+2

Decision models

Bullet 60s

Real games: the clock at Lightning 10+1

More from the results

Bullet: strength against thinking time

How games are lost

Lightning: strength against cost

Best per budget

How BulletBench works

The position

The reply

The engine

The ladder

Why chess on a clock

The clocks

Fair play

Honest caveats

What it measures

What it does not measure

Method